Academic literature on the topic 'Monitoring training load'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Monitoring training load.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Monitoring training load"
1
Zeller, Sebastian, Thomas Abel, and Heiko K. Strueder. "Monitoring Training Load in Handcycling." Journal of Strength and Conditioning Research 31, no. 11 (November 2017): 3094–100. http://dx.doi.org/10.1519/jsc.0000000000001786.
Full text
2
Bourdon, Pitre C., Marco Cardinale, Andrew Murray, Paul Gastin, Michael Kellmann, Matthew C. Varley, Tim J. Gabbett, et al. "Monitoring Athlete Training Loads: Consensus Statement." International Journal of Sports Physiology and Performance 12, s2 (April 2017): S2–161—S2–170. http://dx.doi.org/10.1123/ijspp.2017-0208.
Full textAbstract:
Monitoring the load placed on athletes in both training and competition has become a very hot topic in sport science. Both scientists and coaches routinely monitor training loads using multidisciplinary approaches, and the pursuit of the best methodologies to capture and interpret data has produced an exponential increase in empirical and applied research. Indeed, the field has developed with such speed in recent years that it has given rise to industries aimed at developing new and novel paradigms to allow us to precisely quantify the internal and external loads placed on athletes and to help protect them from injury and ill health. In February 2016, a conference on “Monitoring Athlete Training Loads—The Hows and the Whys” was convened in Doha, Qatar, which brought together experts from around the world to share their applied research and contemporary practices in this rapidly growing field and also to investigate where it may branch to in the future. This consensus statement brings together the key findings and recommendations from this conference in a shared conceptual framework for use by coaches, sport-science and -medicine staff, and other related professionals who have an interest in monitoring athlete training loads and serves to provide an outline on what athlete-load monitoring is and how it is being applied in research and practice, why load monitoring is important and what the underlying rationale and prospective goals of monitoring are, and where athlete-load monitoring is heading in the future.
3
Cardinale, Marco, and Matthew C. Varley. "Wearable Training-Monitoring Technology: Applications, Challenges, and Opportunities." International Journal of Sports Physiology and Performance 12, s2 (April 2017): S2–55—S2–62. http://dx.doi.org/10.1123/ijspp.2016-0423.
Full textAbstract:
The need to quantify aspects of training to improve training prescription has been the holy grail of sport scientists and coaches for many years. Recently, there has been an increase in scientific interest, possibly due to technological advancements and better equipment to quantify training activities. Over the last few years there has been an increase in the number of studies assessing training load in various athletic cohorts with a bias toward subjective reports and/or quantifications of external load. There is an evident lack of extensive longitudinal studies employing objective internal-load measurements, possibly due to the cost-effectiveness and invasiveness of measures necessary to quantify objective internal loads. Advances in technology might help in developing better wearable tools able to ease the difficulties and costs associated with conducting longitudinal observational studies in athletic cohorts and possibly provide better information on the biological implications of specific external-load patterns. Considering the recent technological developments for monitoring training load and the extensive use of various tools for research and applied work, the aim of this work was to review applications, challenges, and opportunities of various wearable technologies.
4
Williams, Sean, Grant Trewartha, Matthew J. Cross, Simon P. T. Kemp, and Keith A. Stokes. "Monitoring What Matters: A Systematic Process for Selecting Training-Load Measures." International Journal of Sports Physiology and Performance 12, s2 (April 2017): S2–101—S2–106. http://dx.doi.org/10.1123/ijspp.2016-0337.
Full textAbstract:
Purpose:Numerous derivative measures can be calculated from the simple session rating of perceived exertion (sRPE), a tool for monitoring training loads (eg, acute:chronic workload and cumulative loads). The challenge from a practitioner’s perspective is to decide which measures to calculate and monitor in athletes for injury-prevention purposes. The aim of the current study was to outline a systematic process of data reduction and variable selection for such training-load measures.Methods:Training loads were collected from 173 professional rugby union players during the 2013–14 English Premiership season, using the sRPE method, with injuries reported via an established surveillance system. Ten derivative measures of sRPE training load were identified from existing literature and subjected to principal-component analysis. A representative measure from each component was selected by identifying the variable that explained the largest amount of variance in injury risk from univariate generalized linear mixed-effects models.Results:Three principal components were extracted, explaining 57%, 24%, and 9% of the variance. The training-load measures that were highly loaded on component 1 represented measures of the cumulative load placed on players, component 2 was associated with measures of changes in load, and component 3 represented a measure of acute load. Four-week cumulative load, acute:chronic workload, and daily training load were selected as the representative measures for each component.Conclusions:The process outlined in the current study enables practitioners to monitor the most parsimonious set of variables while still retaining the variation and distinct aspects of “load” in the data.
5
Nielson, R., P. Glasgow, and A. Coutts. "Training load monitoring and management in athletes." Journal of Science and Medicine in Sport 22 (October 2019): S10. http://dx.doi.org/10.1016/j.jsams.2019.08.054.
Full text
6
Pind, Rasmus, and Jarek Mäestu. "Monitoring training load: necessity, methods and applications." Acta Kinesiologiae Universitatis Tartuensis 23 (January 18, 2018): 7. http://dx.doi.org/10.12697/akut.2017.23.01.
Full textAbstract:
Regular physical activity and participation in organized sports is important contributor to performance and for overall health and fitness in humans of various age range. In performance related areas, every detail in the training sessions is important for the athlete to be in the best shape the chosen competition day. Sport scientists have been making hard effort to find out how the training has the influence on performance. Thus, training monitoring is important tool to evaluate an athlete’s response to training. Banister developed the ‘training impulse’ (TRIMP) as a method to quantify training load. The TRIMP consists of the exercise intensity calculated by the heart rate (HR) reserve method and the duration of exercise. Foster et al. [23] developed a modification of the rating of the perceived exertion method, which uses Rated Perceived Exertion (RPE) as a marker of training intensity within the TRIMP concept. For quantifying and calculating training load, the athlete’s RPE (1–10pt scale) is multiplied by the duration of the session. Ideally, the perceptions of training load should match between athlete and coach to have optimal adaptation. Thus, this brief review article is evaluating training monitoring opportunities without the need of expensive equipment.
7
Foster, Carl, Jose A. Rodriguez-Marroyo, and Jos J. de Koning. "Monitoring Training Loads: The Past, the Present, and the Future." International Journal of Sports Physiology and Performance 12, s2 (April 2017): S2–2—S2–8. http://dx.doi.org/10.1123/ijspp.2016-0388.
Full textAbstract:
Training monitoring is about keeping track of what athletes accomplish in training, for the purpose of improving the interaction between coach and athlete. Over history there have been several basic schemes of training monitoring. In the earliest days training monitoring was about observing the athlete during standard workouts. However, difficulty in standardizing the conditions of training made this process unreliable. With the advent of interval training, monitoring became more systematic. However, imprecision in the measurement of heart rate (HR) evolved interval training toward index workouts, where the main monitored parameter was average time required to complete index workouts. These measures of training load focused on the external training load, what the athlete could actually do. With the advent of interest from the scientific community, the development of the concept of metabolic thresholds and the possibility of trackside measurement of HR, lactate, VO2, and power output, there was greater interest in the internal training load, allowing better titration of training loads in athletes of differing ability. These methods show much promise but often require laboratory testing for calibration and tend to produce too much information, in too slow a time frame, to be optimally useful to coaches. The advent of the TRIMP concept by Banister suggested a strategy to combine intensity and duration elements of training into a single index concept, training load. Although the original TRIMP concept was mathematically complex, the development of the session RPE and similar low-tech methods has demonstrated a way to evaluate training load, along with derived variables, in a simple, responsive way. Recently, there has been interest in using wearable sensors to provide high-resolution data of the external training load. These methods are promising, but problems relative to information overload and turnaround time to coaches remain to be solved.
8
Zeghari, Lotfi, Hicham Moufti, Amine Arfaoui, and Yassir Habki. "The prevention of overtraining with the monitoring training loads: case of football." International Journal of Physical Education, Fitness and Sports 8, no. 3 (August 30, 2019): 42–50. http://dx.doi.org/10.26524/ijpefs1935.
Full textAbstract:
The aim of this paper is to use a training load quantification tool (RPE) to evaluate if the training load programmed by the coach is appropriate to the characteristics of these footballers. The study was conducted at the football section of the Sale Sports Association, Morocco, on a sample of 8 football players who practice in the club of the Association, aged between 18 and 21 years, the study was established during a mesocycle in a period from 18/03/2019 to 20/04/2019. For the quantification of the training load (TL) we chose the (RPE) tool, where each footballer must give his own perception of the effort felt in each training session, taking into consideration also the duration of the session. This will allow us to calculate the intensity of the session estimated, on a scale from 0 to 10. Based on the results of the quantification of training load for the 8 footballers, we note that in the majority of the cases, the acute load (AL) is higher than the chronic load (CL) at the end of each week. On the other hand, for the monotony index (MI) that provides information on the negative adaptations of training and overtraining, we note that it present a high value among the majority of footballers (1.8UA<2.1UA). For the average of the ratio of the training load: acute/chronic, we note that for the first three footballers the training loads are higher compared to the others. The monitoring training load help to better conceptualize the adaptations of the athlete to the training, and also allows the prediction of the performance.
9
AKTÜRE, Kaan Gürbey, Mert İSKİPCİ, and Doğukan YILMAZ. "Fatigue Monitoring for Determining the Optimal Training Load." Turkiye Klinikleri Journal of Sports Sciences 13, no. 1 (2021): 133–46. http://dx.doi.org/10.5336/sportsci.2020-76262.
Full text
10
Halson, Shona L. "Monitoring Training Load to Understand Fatigue in Athletes." Sports Medicine 44, S2 (September 9, 2014): 139–47. http://dx.doi.org/10.1007/s40279-014-0253-z.
Full textDissertations / Theses on the topic "Monitoring training load"
1
Campbell, Patrick George. "Critically examining the capacity of wellness measures as a method of monitoring training load and the athlete training response." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/134391/1/Patrick_Campbell_Thesis.pdf.
Full textAbstract:
Athlete load monitoring is standard in high-performance sports environments, and is principally utilised to maximise performance and physiological adaptations, while limiting the deleterious costs of training and competition. Modified wellness questionnaires are a popularly utilised method of load monitoring, and are commonly used to evaluate the athlete training response from a holistic viewpoint. However, there remains a lack of evidence to support their use. This thesis investigated the dosage effects of wellness measures on controlled acute and chronic modulations in training intensity and overall volume; and the associations between wellness and psychological states, load monitoring markers and common performance measures.
2
Parson, Oliver. "Unsupervised training methods for non-intrusive appliance load monitoring from smart meter data." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364263/.
Full textAbstract:
Non-intrusive appliance load monitoring (NIALM) is the process of disaggregating a household’s total electricity consumption into its contributing appliances. Smart meters are currently being deployed on national scales, providing a platform to collect aggregate household electricity consumption data. Existing approaches to NIALM require a manual training phase in which either sub-metered appliance data is collected or appliance usage is manually labelled. This training data is used to build models of the house- hold appliances, which are subsequently used to disaggregate the household’s electricity data. Due to the requirement of such a training phase, existing approaches do not scale automatically to the national scales of smart meter data currently being collected. In this thesis we propose an unsupervised training method which, unlike existing approaches, does not require a manual training phase. Instead, our approach combines general appliance knowledge with just aggregate smart meter data from the household to perform disaggregation. To do so, we address the following three problems: (i) how to generalise the behaviour of multiple appliances of the same type, (ii) how to tune general knowledge of appliances to the specific appliances within a single household using only smart meter data, and (iii) how to provide actionable energy saving advice based on the tuned appliance knowledge. First, we propose an approach to the appliance generalisation problem, which uses the Tracebase data set to build probabilistic models of household appliances. We take a Bayesian approach to modelling appliances using hidden Markov models, and empirically evaluate the extent to which they generalise to previously unseen appliances through cross validation. We show that learning using multiple appliances vastly outperforms learning from a single appliance by 61–99% when attempting to generalise to a previously unseen appliance, and furthermore that such general models can be learned from only 2–6 appliances. Second, we propose an unsupervised solution to the model tuning problem, which uses only smart meter data to learn the behaviour of the specific appliances in a given house-hold. Our approach uses general appliance models to extract appliance signatures from a household’s smart meter data, which are then used to refine the general appliance models. We evaluate the benefit of this process using the Reference Energy Disaggregation Data set, and show that the tuned appliance models more accurately represent the energy consumption behaviour of a given household’s appliances compared to when general appliance models are used, and furthermore that such general models can per- form comparably to when sub-metered data is used for model training. We also show that our tuning approach outperforms the current state of the art, which uses a factorial hidden Markov model to tune the general appliance models. Third, we apply both of these approaches to infer the energy efficiency of refrigerators and freezers in a data set of 117 households. We evaluate the accuracy of our approach, and show that it is able to successfully infer the energy efficiency of combined fridge freezers. We then propose an extension to our model tuning process using factorial hidden semi-Markov models to model households with a separate fridge and freezer. Finally, we show that through this extension our approach is able to simultaneously tune the appliance models of both appliances. The above contributions provide a solution which satisfies the requirements of a NIALM training method which is both unsupervised (no manual interaction required during training) and uses only smart meter data (no installation of additional hardware is required). When combined, the contributions presented in this thesis represent an advancement in the state of the art in the field of non-intrusive appliance load monitoring, and a step towards increasing the efficiency of energy consumption within households.
3
Akubat, Ibrahim. "Training load monitoring in soccer : the dose-response relationships with fitness, recovery and fatigue." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6898.
Full textAbstract:
The congested fixture schedules in elite soccer leagues around the world has bought the issue of recovery between games and subsequent performance to the fore in soccer related research. Studies have described the time-course of recovery for numerous biochemical and physiological measures of performance, fatigue and recovery from match-play. However, the research also suggests that there is individual variation in the external load both between players and between matches. The external load measured as distance in match-play has been shown to vary by ~30% between games. However it is the internal training load that will determine the magnitude of the physiological responses on an individual basis. Therefore the major aim of this thesis was to examine the dose-response relationships between measures of training load and the physiological and biochemical responses used as markers of recovery from match-play. The thesis also assessed the relationships between these proposed markers of recovery and soccer specific performance. In meeting the aims of the thesis a number of preliminary studies were conducted. The study in section 3 assesses the extent of fixture congestion in the English Premier League. The results showed over 30% of games for the most successful teams are played with 3 days recovery time, justifying the need for investigating recovery from soccer match-play. Given the variation in soccer match-play section 4 examines the reliability and validity of the modified BEAST90 soccer simulation. A measure of performance with less variance would allow changes in soccer specific performance to be identified with greater certainty in section 7. Section 5 assesses the influence of intermittent exercise on the blood lactate response. Given that the new iTRIMP method of measuring internal training load weights exertion with the blood lactate response it was important to assess the influence exercise mode may have on the calculation of internal training load. The results showed that at higher intensities intermittent exercise produced significantly higher blood lactate responses. Section 6 assesses the dose-response relationships between training and fitness using numerous measures of internal training load over a 6 week training period. The results showed only the iTRIMP method showed a significant relationship with changes in fitness. Section 7 assesses the dose-response relationships between exertion in soccer match-play and various physiological measures of fatigue and recovery. The relationships between these measures and changes in soccer specific performance were also assessed. Finally the internal and external load were integrated and the relationships of this ratio assessed with measures of fitness and performance. The results showed that changes in any of the physiological and biochemical measures used to assess recovery did not relate to changes in performance with the exception of testosterone which showed significant positive relationships with changes in distance covered from the 1st trial of the modified BEAST protocol to 2nd. Testosterone also was the only measure to show a significant relationship during the recovery period with any measure of training load (sRPE). Finally, the novel findings of this thesis is the relationships between the integrated ratio’s of internal and external training load with measures of aerobic fitness is also presented in section 7. The studies provided in this thesis have made a major contribution in demonstrating how data that is routinely collected at elite levels of soccer can be used more appropriately. It has also shown limitations of some the methods currently employed to measure training load. Furthermore changes in many of the markers used to assess recovery of soccer players do not seem to relate to changes in soccer specific performance. This may point to a change in paradigm which is required in both research and practice.
4
Banyard, Henry G. "Velocity-based training: Monitoring, implementation and effects on strength and power." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2164.
Full textAbstract:
Traditionally, resistance training has been prescribed using percent-based training (PBT) methods that use the loads relative to a maximal load lifted for one repetition (1RM). However, PBT does not take into account possible day-to-day fluctuations in performance that may occur from physical or psychological stressors. One approach to address this limitation is to monitor velocity changes during resistance training, based on research showing that declines in velocity are highly correlated with fatigue. Therefore, velocity-based training (VBT) methods are proposed to provide a more objective method to modify resistance training sessions based on individual differences in day-to-day performance and the rate of training adaptation. However, at the commencement of this dissertation in 2014, no previous research had examined VBT methods in comparison to PBT methods. Thus, this thesis aimed to verify the efficacy of different VBT methods using a resistance-trained population who could lift a minimum of 150% their own body mass for at least one repetition in the full-depth back squat. These parameters were chosen so that the findings of this research were applicable to strength-trained athletes who were likely to employ VBT methods in their resistance training programs.
In the first of five research studies, two portable VBT devices were examined for their accuracy to assess peak velocity (PV) and mean velocity (MV) among other kinematic variables. On three separate days, ten strength-trained men performed three 1RM back squat trials that comprised loads of 20%, 40%, 60%, 80%, 90% and 100% of 1RM. Acceptable validity criteria was based on a Pearson moment correlation coefficient >0.70, coefficient of variation (CV) ≤10% and Cohen d effect size (ES) r = 0.94 – 0.97, CV = 2.9 – 5.8%) and MV (r = 0.95 – 0.99, CV = 3.2 – 4.5%) across the relative load spectrum when compared to laboratory testing equipment. Thus, for the remainder of the VBT studies in this PhD thesis project, an LT was used to report the velocity data.
In the second study, a novel velocity-based load monitoring method was investigated using 17 strength-trained men who performed three 1RM trials on separate days. Specifically, the reliability and validity of the load-velocity relationship to predict the back squat 1RM was calculated by entering MV at 100% 1RM into individualised linear regression equations which were derived from the load-velocity relationship of three (20%, 40%, 60% of 1RM), four (20%, 40%, 60%, 80% 1RM), or five (20%, 40%, 60%, 80%, 90% 1RM) incremental warm-up sets. The results showed that this predicted 1RM method was moderately reliable (ICC = 0.72 – 0.92, CV = 7.4 – 12.8%), and moderately valid (r = 0.78 – 0.93, CV = 5.7 – 12.2%). However, it could not be used as a VBT method to accurately modify training loads, since it significantly over-predicted the actual 1RM (SEE = 10.6 – 17.2 kg) due to the large variability of MV at 100% 1RM (ICC = 0.42, SEM = 0.05 m·s-1, CV = 22.5%). Therefore, this 1RM prediction method was no longer utilised as a method of adjusting training load for the remainder of the project.
Despite its suggested importance, research had yet to investigate if velocity was stable between training sessions, so that individualised load-velocity profiles (LVP) could be created to track changes in velocity. Thus, the third study attempted to fill this research gap, where 18 strength-trained men performed three 1RM trials, which included warm-up loads pertaining to 20%, 40%, 60%, 80%, 90% and 100% 1RM, with the velocity of each repetition assessed by LT. It was found that PV, mean propulsive velocity (MPV) and MV were all reliable (ICC > 0.70, CV ≤ 10%, ES < 0.6) for the back squat performed at 20%, 40%, 60%, 80%, and 90% 1RM but not at 100% 1RM for MPV and MV. This meant that all three concentric velocity types could be used to develop LVPs. In addition, the smallest detectable difference was established across the relative load spectrum for PV (0.11 – 0.19 m·s-1), MPV (0.08 – 0.11 m·s-1) and MV (0.06 – 0.11 m·s-1), which then allows coaches to determine meaningful changes in velocity from their athletes between training sessions. Collectively, these results showed that LVPs could be utilised as a VBT method for monitoring sessional changes in velocity and modifying resistance-training loads according to individual differences in day-to-day performance.
The fourth study compared the kinetic and kinematic data from three different VBT sessions and a PBT session in order to provide programmatic guidance to strength coaches who may choose to implement these novel methods to adjust resistance training load or volume. Fifteen strength-trained men performed four randomised resistance-training sessions 96 hours apart, which included a PBT session involving five sets of five repetitions at 80% 1RM, a LVP session (verified from Study 3) consisting of five sets of five repetitions with a load that could be adjusted to achieve a target velocity from an individualised LVP regression equation at 80% 1RM, a fixed sets 20% velocity loss threshold FSVL20 session that contained five sets at 80% of 1RM but sets were terminated once MV dropped below 20% of the maximal attainable MV from the first set or when five repetitions were completed, a variable sets 20% velocity loss threshold VSVL20 session that comprised 25 repetitions in total but participants performed as many repetitions in a set until the 20% velocity loss threshold was exceeded or 25 repetitions was completed. During the LVP and FSVL20 sessions, individuals performed repetitions with faster (p < 0.05) sessional MV (ES = 0.81 – 1.05) and PV (ES = 0.98 – 1.12), avoided additional mechanical stress with less time under tension but maintained similar force and power outputs when compared to the PBT session. Therefore, the LVP and FSVL20 methods could be employed in a strength-oriented training phase to diminish fatigue-induced decreases in movement velocity that can occur in PBT.
The VBT method employed in the fifth and final study was derived from the results of Study 4. Both the LVP and FSVL20 methods permitted faster repetition velocities throughout a training session compared to PBT, but it was decided that the FSVL20 method could decrease total training volume and reduce the training stimulus, which may be unwarranted. Therefore, in Study 5, the effects of the LVP-VBT approach (VBT) versus PBT on changes in strength, power and sports performance measures following six weeks of back squat training were examined. The study involved 24 strength-trained men who performed back squat training three times per week in a daily undulating format. The training protocols were matched for sets and repetitions but differed in the assigned training load. PBT group trained with relative loads varying from 59% – 85% 1RM, whereas the VBT group trained with loads that could be adjusted to achieve a target velocity from an individualised LVP that corresponded with 59% – 85% 1RM. Pre- and post-training assessments included 1RM, 30% of 1RM countermovement jump (CMJ), 20-m sprint, and 505 change of direction test (COD). Overall, the VBT group performed repetitions with faster velocities during training (p < 0.05, MV = 0.76 m·s-1 vs. 0.66 m·s-1) that were perceived as less difficult (p < 0.05, rating of perceived exertion = 5.1 vs. 6.0), and utilized marginally lower training loads (p < 0.05, ~1.7%1RM) compared to PBT. Both VBT and PBT methods were effective for significantly enhancing 1RM (VBT: 11.3% vs. PBT: 12.5%), CMJ peak power (VBT: 7.4% vs. PBT: 6.0%), 20-m sprint (VBT: -1.9% vs. PBT: -0.9%), and COD (VBT: -5.4% vs. PBT: -3.6%). No significant differences were observed between groups for any testing assessment but likely favourable training effects were observed in 1RM for PBT group, whilst VBT group had likely favourable improvements in 5-m sprint time, and possibly favourable improvements in 10-m sprint time, and COD time. These findings suggest that both VBT and PBT methods are similarly effective; however, PBT may provide a slight 1RM strength advantage whilst VBT may be preferred by some individuals, since it permits faster training velocities, is perceived as less difficult, and is a more objective method for adjusting training load to account for individual differences in the rate of training adaptation.
In conclusion, VBT (LVP approach) and PBT are similarly effective for promoting significant improvements in strength, power and sports performance tasks in strength-trained participants. However, even though the LVP-based VBT method did not provide significant increases in strength and power adaptations compared to PBT, it provided similar improvements while avoiding additional mechanical loading which may be important for the better management of training load, particularly with athletes who partake in numerous training modalities which can influence fatigue and recovery. That being said, if all repetitions are performed with maximal intended velocity but not to concentric muscular failure, a well-planned, periodised resistance training program with regular training frequency and progressive overload that accounts for bouts of recovery will provide adequate stimulus to significantly enhance strength, power and performance tasks like sprinting and changes in direction. Future training studies may look to examine the efficacy of VBT methods using multiple exercises (upper and lower body), and with different populations including women, adolescents, older adults, and potentially individuals during rehabilitation from injury so that training progress can be objectively monitored. Furthermore, future studies could look to incorporate multiple VBT methods into a training program such as the LVP method to modify resistance training load and the velocity loss thresholds method to control resistance training volume.
5
Fuller, Melanie. "Injury surveillance and monitoring during transitions in dance training and careers including end-user perceptions towards training load practices." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/207339/1/Melanie_Fuller_Thesis.pdf.
Full textAbstract:
This research investigated injuries across and within a training year and career phases in ballet and contemporary dance. The perceptions of artistic and health professionals regarding training practices were also explored. In tertiary dance, 50% of students were injured in the first seven weeks of the program, and certain weeks across the program resulted in higher injury rates. Across one semester, spikes in stress leading to performances, and spikes in load and injury to recommence technique training were observed. Artistic staff were perceived to be responsible for planning training, providing insights for future research into injury prevention in dance.
6
Marshall, Ian Richard. "Monitoring individual training load and stress during practices and match-play in female collegiate soccer players." Diss., [Missoula, Mont.] : The University of Montana, 2008. http://etd.lib.umt.edu/theses/available/etd-05222008-121317/.
Full text
7
Sams, Matthew L. "Comparison of Static and Countermovement Jump Variables in Relation to Estimated Training Load and Subjective Measures of Fatigue." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2411.
Full textAbstract:
The purpose of this study was to compare changes in static and countermovement jump variables across a competitive season of collegiate soccer to estimated training load and subjective measures of fatigue. Monitoring data from 21 male collegiate soccer players were retrospectively examined. Nine vertical jump sessions occurred across the season in addition to daily training load assessment and daily mood-state assessment. Group average changes from the first testing session were calculated and compared to the group average training load for the 7 days preceding each vertical jump testing session for static and countermovement jump height and allometrically scaled peak power. Statistical analysis demonstrated strong relationships between changes in vertical jump height for both conditions, allometrically scaled peak power for static jumps, and estimated training load. The results indicate changes in static jump height and allometrically scaled peak power may be more useful athlete fatigue monitoring tools than countermovement jump variables.
8
Markwick, William. "Training load quantification in professional Australian basketball and the use of the reactive strength index as a monitoring tool." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1709.
Full textAbstract:
Study 1: The intraday reliability of the reactive strength index (RSI) calculated from a drop jump in professional men’s basketball.
Purpose: To evaluate the reliability of the reactive strength index (RSI) and jump height (JH) performance from multiple drop heights with elite basketball players. Methods: Thirteen professional basketball players (mean ±SD: age 25.8 ± 3.5 y, height 1.96 ± 0.07 m, mass 94.8 ± 8.2 kg) completed 3 maximal drop jump attempts on to a jump mat at 4 randomly assigned box heights and 3 counter movement jump (CMJ) trials. Results: No statistical difference was observed between three trials for both the RSI and JH variable at all the tested drop heights. The RSI for drop jump heights from 20 cm resulted in a coefficient of variation (CV) = 3.1% and an intraclass correlation (ICCα) =0.96, 40 cm resulted in a CV = 3.0% and an ICCα = 0.95, 50 cm resulted in a CV = 2.1% and an ICCα = 0.99. The JH variable at the 40 cm drop jump height resulted in the highest reliability CV = 2.8% and an ICCα = 0.98. Conclusion: When assessing the RSI the 20, 40 and 50 cm drop heights are recommended with this population. When assessing large groups it appears that only one tria
Study 2: Does session RPE relate with reactive strength qualities? A case study investigation within the National Basketball League
This investigation aimed to establish the relationship between training loads derived from the sessional rating of perceived exertion (sRPE) and the reactive strength index (RSI) over a 27-week competitive season in elite basketball players. Fourteen professional male basketball players (26 ± 3.6 years; 95.8 ± 9.0 kg; 197.3 ± 7.3 cm) participated in this study. Training load data were modeled against the RSI over a 27-week competitive season with the use of a linear mixed model. The relationship between RSI and training load was only significantly different from baseline (Week 1) at Week 24 (p < 0.05) and Week 26 (p < 0.01). These primarily findings suggest that sRPE and RSI have a weak relationship, whilst the RSI does not appear to accurately reflect the changes in training load that occur during an in-season periodized training program in professional male basketball.
9
Antualpa, Kizzy Fernandes. "O efeito da estratégia de intensificação e tapering nas respostas hormonais, comportamentais, de desempenho, e na imunidade da mucosa oral em jovens atletas de ginástica rítmica." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/39/39132/tde-21112017-103644/.
Full textAbstract:
A Ginástica Rítmica (GR) é uma modalidade caracterizada pela a participação de jovens atletas no treinamento sistematizado. Este estudo examinou o efeito de um período de intensificação (IT, 4 semanas, após um período de treinamento habitual, TH) seguido de um período de tapering (TP, 2 semanas) nos hormônios salivares (testosterona - T e cortisol - C), imunoglobulina salivar A (SIgA), severidade das infecções do trato respiratório superior (ITRS), bem-estar (WB), e no desempenho físico e técnico em 23 atletas de ginástca rítmica ( < 11 anos de idade [G1], < 13 anos de idade [G2] e > 13 anos de idade [G3]). A percepção subjetiva de esforço da sessão (PSE da sessão) foi utilizada para quantificar a carga interna de treinamento (CIT) e a razão aguda:crônica da carga de treinamento (ACT). Os questionários WB e WURSS-21 foram preenchidos diariamente. A coleta de saliva e os testes de desempenho físico e técnico foram realizados no início da IT (T1), após IT (T2) e após TP (T3). Foi observada maior CIT para TI em comparação com TP (ES = 2,37). A ACT nas semanas de IT variou de 1,2 (0,3) a 1,4 (0,3). Não foram observadas alterações significantes foi para a concentração de T (206 ± 39, 221 ± 35, 216 ± 51 ?mol/L, para T1, T2 e T3, respectivamente [grupo inteiro]; p = 0,16), concentração de C (5,7 ± 1,0, 5,8 ± 0,8, 5,0 ± 0,7 ?mol/L; p = 0,07) e índice de bem-estar (WB - 19 ± 3, 19 ± 2, 19 ± 2; p = 0,44). O WB para G3 foi significativamente menor em comparação a G1 e G2. Uma maior concentração absoluta de SIgA (SIgAabs [ug/ml]) (F = 7,6; 20 p = 0,001) para pós-IT (234 ± 104) vs pré-IT (173 ± 91) e pós-TP (182 ± 70) e uma maior taxa de secreção de SIgA (SIgAtaxa [ug/min]) (F = 3,4; p = 0,04]) para pós-IT (69 ± 28) vs pré-IT (55 ± 27) e Pós-TP (58 ± 22) foi observada. Quanto à severidade dos sintomas de ITRS, nenhuma alteração significante foi observada (?2 = 2,81; p = 0,24). Houve melhora no desempenho físico para abdominais de T2 a T3 (ES = 0,80) e T1 a T3 (ES = 0,78) e para RFms (flexões de cotovelo) (T2-T3, ES = 0,61; T1-T3, ES = 0,55). Uma melhora desempenho técnico de T1 para T3 (ES = 2,32) também foi observada. Estes resultados sugerem que uma IT de 4 semanas seguida por TP (2 semanas) parece ser uma abordagem útil para melhorar o desempenho físico e técnico em jovens ginastas de GR, mantendo a percepção de WB, das repostas hormonais, podendo inclusive, induzir adaptações positivas nos sistemas orgânicos, em particular a função da imunidade da mucosa oral de ginastas prépuberes. Ademais, os presentes resultados podem indicar que a razão ACT de 1,2-1,4 possa servir como um valor de referência para organizar de forma efetiva e segura a intensificação das cargas de treinamentoRhythmic Gymnastics (RG) is a modality characterized by participation of young athletes in systematized training. This study examined the effect of an intensification period (IT; 4 weeks; after a habitual training period; HT) followed by a tapering period (TP; 2 weeks) on salivary hormones (testosterone - T and cortisol - C), salivary immunoglobulin A (SIgA), severity of upper respiratory tract infections (URTI), wellbeing (WB), and physical and technical performance in 23 rhythmic gymnasts (RG; Under-11 group [G1], Under-13 group [G2], and > 13 group [G3]). The session-rating of perceived exertion (RPE session) was used to quantify the daily internal training load (ITL) and the acute:chronic workload ratio (ACW). The WB and WURSS-21 questionnaire were completed daily. Saliva sampling, physical and technical performance tests were carried out at the beginning of the IT (T1), after IT (T2), and after TP (T3). A higher ITL was observed for IT compared to TP (ES=2.37). The ACW for the IT weeks varied from 1.2 (0.3) to 1.4 (0.3). No significant change was detected for T concentration (206 ± 39, 221 ± 35, 216 ± 51 ?mol/L, for T1, T2, and T3, respectively [whole group]; p = 0.16), C concentration (5.7 ± 1.0, 5.8 ± 0.8, 5.0 ± 0.7 ?mol/L; p = 0.07), and WB (19 ± 3, 19 ± 2, 19 ± 2; p = 0.44). A significant lower WB score was observed for the G3. A higher SIgA absolute concentration (SIgAabs [ug/ml) (F=7.6; 20 p=0.001) for post-IT (234±104) vs pre-IT (173±91), and post-TP (182±70), and a higher SIgA secretion rate (SIgArate [ug/min]) (F=3.4; p=0.04]) for post-IT (69±28) vs pre-IT (55±27), and post-TP (58±22) were observed. No significant change was observed for severity of URTI symptoms (?2=2.81; p=0.24). Physical performance increased for sit-ups from T2 to T3 (ES = 0.80), and T1 to T3 (ES = 0.78) and for pushups (T2-T3; ES = 0.61; T1-T3; ES = 0.55). Technical performance also increased from T1 to T3 (ES = 2,32). These results suggest that a 4-week IT followed by TP (2-week) seems to be a useful approach to improve physical and technical performance of youth RG, while maintaining the perception of WB, the hormonal milieu, even affording to induce positive adaptations in body systems, in particular, the mucosal immune function, in youth RG. In addition, the results may indicate the ACW ratio of 1.2-1.4 might be used to organize an effective and safety intensification of training loads
10
Kotani, Yosuke. "Factors related to creating force-velocity and load-velocity profiles with the squat jump." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2487.
Full textAbstract:
It is well recognized that the ability to rapidly generate high levels of force is an important factor underpinning vertical jump performance. Recently, it has become popular to use forcevelocity (FV) and load-velocity (LV) profiles created from progressively loaded squat jumps (SJs) to guide the resistance training process. By creating FV profiles, the coach can determine if the athlete has a force or velocity deficit and then create an individualized training program based upon the determined deficit. Alternatively, the LV profile can be used to monitor performance and as a method for prescribing training load. While several recent studies have explored the efficacy of the use of training methods based on the FV or LV profile, there is limited research examining the various methodologies and technologies that are commonly used to create these profiles with SJs. Therefore, the primary purpose of this thesis project was to investigate the reliability and validity of various methods for assessing the FV and LV profile during the SJ. In Study 1, progressively loaded SJs were performed on a force plate in order to determine the overall reliability of the FV and LV profiles. After this was completed, Study 2 was used to compare three methods of determining the FV and LV profiles. Specifically, the FV and LV profiles created from data collected with the PUSH BandTM 2.0 (PUSH) and GymAware (GYM) were compared with the profiles created from data collected with a force plate in order to determine if the velocities determined with these methods agreed. In Study 3, the FV and LV profiles created with two accelerometers (Bar Sensei [BS] and Beast Sensor [BEAST]) were compared with a laboratory based four-linear position transducer system (4- LPT) in order to determine if the velocities measured with these devices agreed and were reliable. In Study 4, the mode of exercise (free-weight or Smith Machine) was compared to determine if there was agreement between the FV and LV profiles created with each mode. Finally, in Study 5, SJs that were performed with free-weights and the Smith Machine were compared in order to determine if there was agreement between the FV and LV profiles created with a force plate, the PUSH, and GYM. The primary finding of this thesis was that the FV and LV profiles created from SJs with a force plate were unreliable regardless of which mode of exercise was utilized. Additionally, the PV quantified with the GYM agreed with the PV determined with the force plate regardless of whether the SJ was performed with free-weights or a Smith Machine. Conversely, the PV determined with the PUSH did not agree with the force plate regardless of which mode of exercise was performed. Finally, the PVs determined with the BEAST agreed with the 4-LPT system, whilst the BS did not. Based upon these findings, it is important that coaches are aware that there is a lack of reliability with these profiles and that velocities measured by different devices do not always agree.
Books on the topic "Monitoring training load"
1
Training Load and Performance Monitoring, Recovery, Wellbeing, Illness and Injury Prevention. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-3126-7.
Full text
2
Clemente, Filipe, Daniel Castillo, and Asier Los Arcos. Training Load and Performance Monitoring, Recovery, Wellbeing, Illness and Injury Prevention. Mdpi AG, 2022.
Find full text
3
Sperlich, Billy, Hans-Christer Holmberg, and Kamiar Aminian, eds. Wearable Sensor Technology for Monitoring Training Load and Health in the Athletic Population. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88963-462-0.
Full text
4
Legnani, Elto, Cláudio Oltmann, and Tiago Augusto Andrade. Dinâmica entre cargas e recuperação física de atletas: Métodos de controle. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-486-9.
Full textAbstract:
This work presents the main concepts related to training loads and physical recovery in athletes. This material is the result of a collection of two master's dissertations linked to the Graduate Program in Biomedical Engineering of the Federal Technological University of Paraná, Campus Curitiba. Our main goal is to bring to sports professionals, essential concepts for those who want to improve their load control strategies and the physical recovery of their athletes. The content was organized in two parts: the first addresses the classic concepts and the main strategies on the control of monitoring of training loads and physical recovery of athletes. In the second part, the authors present a brief summary of the literature on the technologies available in the market, for monitoring the training loads and physical recovery of athletes, and finally, the authors present a tool specially developed to evaluate and monitor the loads of training and physical recovery of athletes, the e-Trimp application. This app is available free of charge for use in sport. It is expected that this content can contribute to the specialized literature, especially, assist, athletes, coaches, and physical trainers in improving strategies to evaluate and monitor load indicators and physical recovery.
Book chapters on the topic "Monitoring training load"
1
Pareja-Blanco, Fernando, and Irineu Loturco. "Velocity-Based Training for Monitoring Training Load and Assessing Training Effects." In Resistance Training Methods, 153–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81989-7_9.
Full text
2
Rokhim, R., I. A. A. Faradynawati, A. D. Yonathan, W. A. Perdana, and P. G. L. Natih. "Peer-monitoring, credit discipline training, and ultra-microcredit loan repayment performance: The case of Mekaar program in Indonesia." In Contemporary Research on Business and Management, 44–47. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003196013-11.
Full text
3
Mueller, Stephan, Flavia Baldassarri, Julia Schönfeld, and Martin Halle. "Monitoring exercise programmes and improving cardiovascular performance." In The ESC Textbook of Sports Cardiology, edited by Antonio Pelliccia, Hein Heidbuchel, Domenico Corrado, Mats Börjesson, and Sanjay Sharma, 389–400. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779742.003.0043.
Full textAbstract:
Cardiovascular exercise performance is associated with lower morbidity and mortality. In addition to maximal load, heart rate, and peak oxygen consumption, cardiopulmonary exercise testing and lactate analyses can provide relevant information on cardiovascular performance, diagnosis, exercise prescription, and monitoring of exercise programmes based on submaximal parameters. Using submaximal thresholds has the advantage that the prescription and effect of exercise training are directly linked to the underlying energy metabolism and therefore can reveal the specific needs of the individual. There are several methods ofr strength testing that are all based on maximum parameters and should be chosen according to the best-fit principle to the underlying strength training programme. In addition, new media such as wearables, innovative gadgets and telemonitoring have become increasingly popular in recent years and can be used to monitor the exercise training sessions, providing information for evaluation and adjustment of training if necessary.
4
Pyne, David. "Monitoring Training Load in and out of the Pool, Optimal Load and Periodisation in Young Swimmers." In High Performance Youth Swimming, 137–48. Routledge, 2020. http://dx.doi.org/10.4324/9780429465598-11.
Full text
5
Costa, Júlio, and Fábio Y. Nakamura. "Assessment of Autonomic Cardiac Activity in Athletes." In Cardiorespiratory Fitness - New Topics [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104778.
Full textAbstract:
Athletes, coaches, and supporting staff should assume a scientific approach to both designing and monitoring training programs. Proper load monitoring is essential to determine whether an athlete is adapting to a training program and to minimize the risk of increasing non-functional overreaching, illness, or injury. To gain an understanding of training and competition demands and their effects on the athlete, various potential physiological variables are available. Nonetheless, very few of them have robust scientific evidence to support their use. Therefore, this chapter will discuss the use of non-invasive and time-efficient methods to record and/or calculate heart rate variability (HRV) in athletes. HRV variables can provide detailed information about positive and negative adaptions over short and long periods throughout the competitive season. The accumulated knowledge regarding the importance of HRV has led both monitoring variables to become popular strategies among elite athletes, coaches, and supporting staff.
6
Dakshina, Subathira, and Palwasha Khan. "Therapeutic Options for HIV Infection." In Tutorial Topics in Infection for the Combined Infection Training Programme. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198801740.003.0068.
Full textAbstract:
Treatment of HIV infection has seen dramatic developments since the start of the epidemic over thirty-five years ago. Since the advent of highly active antiretroviral therapy (HAART), HIV infection has gone from being a terminal illness with the inevitable development of AIDS to a now-treatable chronic condition with infected individuals living a ‘normal’ and healthy lifestyle when tested early and engaged in care. Antiretroviral therapy (ART) has become simpler with minimal pill burden and fewer side effects. In the UK ART can only be prescribed by a HIV specialist ensuring the patient is engaged in care and under regular monitoring and follow up. HIV infection affects the immune system through depletion of CD4 T-lymphocytes. There are several goals and aims of treating HIV infection. The main function of ART is to prevent HIV viral replication, which in turn reduces viral load (VL) and depletion of CD4 cells thereby preventing the development of AIDS and eventual mortality. HIV infection induces a pro-inflammatory state, which is associated with several conditions especially in late presenters. Common conditions include cardiovascular disease including cardiomyopathy, increased risk of venous thromboembolism due to a hypercoagulable state, HIV-associated nephropathy, disorders of the central nervous system, bone disorders, various dermatological conditions, and acceleration of ageing. Timely initiation of ART can help reduce and reverse such conditions. Studies demonstrate early initiation of ART and maintaining a suppressed VL minimizes the risk of onward sexual transmission of HIV. Though barrier protection is always advised in serodiscordant couples, recent studies support the reduced risk of transmission in virologically suppressed serodiscordant sexual couples, which has led to changes in post-and pre-exposure prophylaxis guidelines and enabling serodiscordant couples to conceive naturally. All HIV positive women should be initiated on ART and virologically suppressed ideally prior to conception. It is now routine practice in the UK and many parts of the world to perform HIV testing during pregnancy. If tested positive during pregnancy ART should be initiated and, depending on the stage of pregnancy and the VL, a Caesarean section may be necessary and the neonate may require prophylactic ART.
7
Voloshyna, Oksana. "FORMATION OF INFORMATION AND COMMUNICATIVE COMPETENCE OF FUTURE AGRARIAN SPECIALISTS IN HIGHER EDUCATION INSTITUTIONS." In Theoretical and practical aspects of the development of modern scientific research. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-195-4-25.
Full textAbstract:
Nowadays, Ukraine’s education system is experiencing global changes that require innovative approaches to the management of educational institutions. In addition, modern requirements for the management of educational institutions, the quality of the education system require a high level of professionalism from all participants of the educational process, especially future specialists. Current social processes taking place in our country have caused an urgent need to increase the level of information and communication competence of future specialists in agriculture, education and pedagogy, who will be able to perform their duties productively in unpredictable conditions, especially under quarantine restrictions caused by the COVID-19 pandemic. Application of modern computer technologies is one of the compulsory prerequisites for the use of information and communication competencies of future agrarian specialists in educational institutions. Educational interaction in blended learning can be implemented on the basis of Learning Management Systems (LMS) and Internet technologies. Their advantages include the focus on collaborative learning technologies, wide opportunities for communication (exchange of messages, chats, comments, etc.), exchange of files of various formats, etc. However, they have some drawbacks: teachers are often forced to work with a specific interface within a certain logic of the environment; creation of educational components of the educational environment is available mainly to the teacher, which sometimes complicates joint work of the subjects of the learning process, i.e. there is no communication with the network community; operational load on the school server and problems with system administration. The reasons for the introduction of cloud technology into education in the process of formation of information and communication competence of future agrarian specialists are as follows: significant financial investments in the purchase and maintenance of equipment and software products; rather difficult adaptation of finished software products to the teaching process, and, as a consequence, only fragmentary use; the need to develop the information environment of educational institutions. The main benefits of common cloud storage in the formation of information and communication competence of future agrarian specialists are as follows: file exchange can be carried out in different directions: student – student, university – student, teacher – student; virtually no training is required to work with cloud storage; it supports different types of files that can be published on the Internet; it is possible to work with several files and folders at the same time; data on the local computer is automatically updated when you update the Internet; when multiple users work at the same time, the file update applies to all users. Therefore, information and communication competence is the ability and willingness to effectively use information and communication technologies within professional activities. Information and communication competence of the employee of the educational institution can be defined as the conscious, purposeful and effective use of knowledge, skills and labor actions in the field of computer science in the framework of one’s professional activity, namely educational activities. Analysis of the required knowledge, skills and labor actions of employees of the educational institution has allowed us to identify the basic information and communication competencies for the management level: construction of information space at the educational institution, organization of communication channels and ways to protect information; ensuring openness and accessibility for all participants of the normative-legal sphere of management of educational institution; analysis, formation and presentation of information about the activities of the educational institution, its property status, income and expenses; creation and updating of databases of all participants of educational relations at the educational institution; creation and provision of a system for monitoring the quality of the educational process, educational achievements of students, activities of the educational institution; possession of skills of work with electronic sources of normative-legal maintenance and systematization of normative-legal base of management of educational institution; design, compilation and processing of documentation using appropriate software.
Conference papers on the topic "Monitoring training load"
1
Song, YongWang, HongYing Pan, JianPei Zhang, JianMin Chen, and Zhangzhi Jia. "The Application of Training Impulse and Sports Training Monitor in the Load Monitoring of Female Handball Players." In 2021 International Conference on Information Technology and Contemporary Sports (TCS). IEEE, 2021. http://dx.doi.org/10.1109/tcs52929.2021.00098.
Full text
2
Völker, Benjamin, Philipp M. Scholl, and Bernd Becker. "Semi-Automatic Generation and Labeling of Training Data for Non-intrusive Load Monitoring." In e-Energy '19: The Tenth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3307772.3328295.
Full text
3
Alcazar, Christine Joy M., Juveil N. Batalla, Mary Jenaline S. Figueroa, John Michael T. Magadia, Vynther Byron B. Pangilinan, and Jayson Raymund D. Bermudez. "NUPro: A Mobile and Web Framework for Athlete Profiling and Training Load Monitoring." In 2021 1st International Conference in Information and Computing Research (iCORE). IEEE, 2021. http://dx.doi.org/10.1109/icore54267.2021.00021.
Full text
4
Zhang, Zhilin, Jae Hyun Son, Ying Li, Mark Trayer, Zhouyue Pi, Dong Yoon Hwang, and Joong Ki Moon. "Training-free non-intrusive load monitoring of electric vehicle charging with low sampling rate." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7049328.
Full text
5
Birnikov, Ivan, Mihayl Klechorov, and Valentin Vukov. "TRAINING LOAD BY BIATHLETES AND CROSS-COUNTRY SKIERS IN MACROCYCLE." In INTERNATIONAL SCIENTIFIC CONGRESS “APPLIED SPORTS SCIENCES”. Scientific Publishing House NSA Press, 2022. http://dx.doi.org/10.37393/icass2022/14.
Full textAbstract:
ABSTRACT In this study, it will be considered in detail, analyzed, and compared the plan-programs in the annual macrocycle, of Bulgarian cross-country skiers and biathletes, and more specifically their general and specific indicators. This would give us much clearer direction in planning the training load in each of the two sports and at the same time the opportunity to make timely adjustments to the training process to increase its effectiveness. In accordance with the purpose and tasks thus set, we applied the following traditional research methods: a survey of methodical scientific literature in cross-country skiing and biathlon, comparative content analysis of training plan programs, targeted pedagogical monitoring of the training process, as well as mathematical and statistical methods. The results show that in both programs, a 7-day version of microcycle in the presented total of 12 mesocycles. The total training load for biathletes participating in the World Cup is 903 h. This is in cross-country skiers - 1050 h. The special training is 68% and the general - 32%. For biathletes, 65% is the special work, and 35% is the general work. To achieve higher results in international competitions in both winter sports, it is necessary to increase the total training load in the annual macrocycle. Also, training tools and modes of operation must be updated in terms of the load intensity.
6
Shaw, Erik, Pablo Vasquez, Ryosuke Kondo, Kevin Ung, Zachary Farrer, Evan Fagerberg, Jack Baker, et al. "Assisted Mobility Gait Training System." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65635.
Full textAbstract:
Gait training is a rehabilitation process which helps patients improve their ability to walk or stand. Current gait training methods require patients to be in hospitals or rehabilitation facilities to acquire data on their recovery progress; there is no method of monitoring patient’s walking pattern continuously. Patients can fall into bad habits when they are not with their physician. Assisted Mobility Gait Training System is a redesigned walker that wirelessly provides data to patients and healthcare professionals throughout the rehab process. With continuous monitoring of data, patients can obtain live feedback about their walking pattern when they are outside a hospital setting. Assisted Mobility Gait Trainer combines tele-medicine and out-patient monitoring to improve the gait rehabilitation process. Portability and ease of use allows the device to be used as an outpatient monitoring tool decreasing recovery time and healthcare visitations. Data acquisition and progress monitoring are achieved through load cells and a Microsoft Kinect 2 that collects data regarding the patient’s gait. Imaging arrays within the Microsoft Kinect 2, including an RGB camera, infrared emitter, and depth sensor, monitor limb trajectories. Angle of rotation of each joint is obtained through the use of blob detection and trigonometry, specifically a variation of the dot product. Use of the camera, load cells, and wheel encoder ensures there is minimal set up time, other than turning on the system. Four load cells in each leg measure the force applied to the gait trainer, which allows physicians to identify if the patient is utilizing one leg more than the other, as well as determining if the patient becomes less reliant on the walker over time. Gait speed and distance traveled during use is measured by a wheel encoder. Data collected is sent into cloud storage where it is processed and saved. Saved data is then electronically communicated to the healthcare professional and the patient in two separate user interfaces. Healthcare professionals are able to help patients gage their rehabilitation progress more efficiently. Patients benefit by receiving feedback regarding their gait while they are not at a rehab facility, which assists against patients falling into of bad habits during the rehabilitation process.
7
Babic, Matej, Miroslav Holienka, and Nikolas Nagy. "Internal Load Of Soccer Goalkeepers During A Training Process." In 12th International Conference on Kinanthropology. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9631-2020-22.
Full textAbstract:
Purpose: The main aim of our research was to determine the internal load of goalkeepers in the soccer training process. The internal load of goalkeepers during the training process is examined according to the achieved values of heart rate. Our goal was to expand the knowl-edge of the impact of different methodical forms on the goalkeepers’ internal load in soccer, thereby support the possibilities of improving their training process. The assumption was that the goalkeepers would achieve significantly different heart rate values in different methodical forms. Methods: The research group was formed by six elite youth soccer goalkeepers (n=6) from U16, U17 and U19 categories. In order to evaluate the heart rate was used the POLAR PRO heart rate monitor and the loading zones of goalkeepers were determined by using a pro-gram called POLAR Team2. Subsequently, the obtained data were evaluated by using the Wilcoxon Signed-Rank Test and Cohen´s „r “(effect size). Results: The average difference in HRavg during preparatory exercise and small-sided game was 25 ± 9 beats.min-1, and the average difference in HRmax was 35 ± 12 beats.min-1. During preparatory exercise achieved the goalkeepers’ value of HRavg 134 ± 8 beats.min-1 and in small-sided game was HRavg 159 ± 8 beats.min-1. In individual methodical forms were found significantly different average heart rate values (z = -2.201, p < 0.05, r = 0.9), which statisti-cally and logically confirmed our assumption. Conclusion: Monitoring of soccer goalkeepers´ internal load in the process of training and improvement of game activities can greatly help the coaches in further planning, optimiza-tion and tracking of the training process. Based on our research´s results is recommended to monitor and evaluate the internal load intensity of goalkeepers using sporttesters during entire training process.
8
Starling, Lindsay, Grant Van Velden, Sean Surmon, Wayne Derman, and James Craig Brown. "117 Perceptions of training load and wellness monitoring of stellenbosch university high performance student-athletes." In IOC World Conference on Prevention of Injury & Illness in Sport 2021. BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine, 2021. http://dx.doi.org/10.1136/bjsports-2021-ioc.109.
Full text
9
Ivanov, Nikolay. "HEART RATE AND BLOOD LACTATE MONITORING DURING MICROCYCLE AND MESOCYCLE IN ACROBATICS GYMNASTICS." In INTERNATIONAL SCIENTIFIC CONGRESS “APPLIED SPORTS SCIENCES”. Scientific Publishing House NSA Press, 2022. http://dx.doi.org/10.37393/icass2022/31.
Full textAbstract:
ABSTRACT Periodization and planning of the training load is an essential process in the preparation of an elite gymnast. On the one hand, the coaches and gymnasts have to achieve the necessary level (individual maximum) of the volume (quantity of elements and routines), and on the other hand, they have to do it at the “right time”. Last but not least is to prevent the gymnasts from injuries. That is why we need to study the dynamic of the training load from a physiological point of view and should have a better understanding of how the body’s system responds. This study aims to observe body reactions to the training load during one microcycle and one mesocycle in acrobatics gymnastics. One female youth Olympic champion (18 years old) and one male bronze medallist from junior WCH (26 years old) were tested. The study was made at the end of the preparation period and the beginning of the competitive period. The indicators measured were HR, blood La. Heart rate was recorded by Suunto Ambit 2. A drop of blood sample was taken from the fingertip to assess the average peak blood lactate concentration using an Accutrend Plus Roche. A heart rate record was made during one week of training (6 training days). Monitoring of the blood La took place once a week (every Thursday) for one month. The obtained results show how the gymnast body’s systems react to the training load in microcycles and mesocycle in acrobatics gymnastics. The data allow timely optimization of the training load and is a prerequisite for the improvement of the next periodization and planning of the training load not only for gymnasts that were tested but also for high-level gymnasts (Mixed Pair) with similar age and anthropometric indicators.
10
Li, Xuhao, Bochao Zhao, Wenpeng Luan, and Bo Liu. "A Training-free Non-intrusive Load Monitoring Approach for High-frequency Measurements based on Graph Signal Processing." In 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2022. http://dx.doi.org/10.1109/acpee53904.2022.9783715.
Full textReports on the topic "Monitoring training load"
1
Costa, Julio, Vincenzo Rago, Pedro Brito, Pedro Figueiredo, Ana Sousa, Eduardo Abade, and João Brito. External and internal load during training sessions in elite women’s soccer: a systematic mini review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0038.
Full textAbstract:
Review question / Objective: The present systematic mini review aim to provide an overview about external and internal load during training sessions in elite women’s soccer, with special focus on fatigue, training adaptions and injuries. Condition being studied: Continuous training load monitoring in the context of the regular team routine. Eligibility criteria: To investigate continuous monitoring, we include articles with a minimum of one week of monitoring, irrespective of gender and study focus (e.g. studies reporting descriptive data of training load without studying its effects will be included). Articles will be excluded if: the participants are not all elite women’s soccer players (e.g. mixed samples including elite and non-elite players); the participants are aged under 18; the participants are not monitored longitudinally over a minimum of a 1-week period or five sessions (if the duration is not stated; friendly matches are considered training sessions) to consider continuous monitoring practices; no GPS-derived training load data are reported; the articles do not report any training load indicators; single drills are monitored rather than the entire training session, or the article focuses on the comparison between a specific drill and match demands; data from training sessions are not reported; and the articles are editorials or reviews.
2
Rebelo, André, João R. Pereira, Paulo Cunha, Manuel J. Coelho-e-Silva, Lauren B. Sherar, and João Valente-dos-Santos. Training Load, Neuromuscular Fatigue and Well-Being in Volleyball: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0059.
Full textAbstract:
Review question / Objective: This systematic review aims to compile and order all the training load measures, all fatigue assessments, and all well-being questionnaires used in volleyball training/match monitoring, systematizing them. Condition being studied: Training load: cumulative amount of stress placed on an individual from multiple sessions and games over a period of time. Neuromuscular fatigue: A response that is less than the expected or anticipated contractile response, for a given stimulation. Well-being: A continuous, active process, which is geared towards balancing one’s physical, emotional, social, intellectual and spiritual wellness in order to enhance one’s life quality.5 In sport science the subjective measurement of the response to training and competition are used through the athlete self-report measures (ASRMs). In practice, these often comprise brief, single-item checklists derived from validated questionnaires that are intended to be completed daily.
3
Rebelo, André, João R. Pereira, Diogo V. Martinho, and João Valente-dos-Santos. Rating of Perceived Exertion in Professional Volleyball: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0034.
Full textAbstract:
Review question / Objective: The purpose of the current review was to systematically and critically evaluate the use RPE-based methods in professional volleyball. Condition being studied: Monitoring athlete load is better understood through sub-dividing load into two groups – internal and external. Internal training load (ITL) refers to the physiological stress that a training session induces in the athlete. Rating of perceived exertion (RPE) has become the most common method of monitoring ITL. The RPE method was originally developed by Borg, and Foster et al. created a simple technique to quantify ITL using a modification of this scale. This technique is known as the session RPE (sRPE) and is derived by multiplying the overall RPE obtained at the end of a training session (or match), using the Borg Category-Ratio 10 scale (BORG-CR10) by the total duration (in minutes) of the training session, to provide a modified training impulse (TRIMP) score.