Relevant bibliographies by topics / Electromyography

Academic literature on the topic 'Electromyography'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Electromyography"

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Ballaro, Andrew. "The Elusive Electromyogram in the Overactive Bladder: A Spark of Understanding." Annals of The Royal College of Surgeons of England 90, no. 5 (July 2008): 362–67. http://dx.doi.org/10.1308/003588408x301217.

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It has been said that a technique capable of recording a urinary bladder electromyogram could be useful in the clinical evaluation of the detrusor neuropathies and myopathies implicated in the generation of lower urinary tract symptoms. However, in contrast to electromyography of skeletal and cardiac muscle, detrusor smooth muscle electromyography has remained in its infancy despite 50 years of scientific effort. The principal problems appear to be isolation of the real signal from artefacts, and the doubtful existence of electromyographic activity during cholinergic muscle contraction. The discovery of purinergic neuromuscular transmission in the overactive human bladder has renewed interest in detrusor electromyography as, in contrast to cholinergic mechanisms, purinergic mechanisms can generate extracellular electrical activity. In this paper, the development and validation of a novel technique for recording electrical activity from neurologically intact guinea-pig and human detrusor in vitro is described. A purinergic electromyographic signal is characterised and it is shown that detrusor taken from overactive human bladders has a greater propensity to generate electromyographic activity than normal by virtue of an aberrant purinergic mechanism.
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Moreno-Pérez, Diego, Pedro J. Marín, Álvaro López-Samanes, Roberto Cejuela-Anta, and Jonathan Esteve-Lanao. "Muscle Activation in Middle-Distance Athletes with Compression Stockings." Sensors 20, no. 5 (February 26, 2020): 1268. http://dx.doi.org/10.3390/s20051268.

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The aim of this study was to evaluate changes in electromyographic activity with the use of gradual compression stockings (GCSs) on middle-distance endurance athletes’ performance, based on surface electromyography measurement techniques. Sixteen well-trained athletes were recruited (mean ± SD: age 33.4 ± 6.3 years, VO2max 63.7 ± 6.3 mL·kg−1·min−1, maximal aerobic speed 19.7 ± 1.5 km·h). The athletes were divided into two groups and were assigned in a randomized order to their respective groups according to their experience with the use of GCSs. Initially, a maximum oxygen consumption (VO2max) test was performed to standardize the athletes’ running speeds for subsequent tests. Afterward, electromyographic activity, metabolic, and performance variables for each group were measured with surface electromyography. In addition, blood lactate concentration was measured, both with and without GCSs, during 10 min at 3% above VT2 (second ventilatory threshold), all of which were performed on the track. Next, surface electromyography activity was measured during a 1 km run at maximum speed. No significant changes were found in electromyography activity, metabolic and performance variables with GCSs use (p > 0.164) in any of the variables measured. Overall, there were no performance benefits when using compression garments against a control condition.
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Pezarat-Correia, Pedro R., Pedro R. Medeiros, Orlando J. Fernandes, João R. Vaz, Luis Silva, and Antonio Carlos Moraes. "Comparison of shoulder and trunk muscle activation between different pullover exercises." Revista Andaluza de Medicina del Deporte 13, no. 3 (March 11, 2020): 127–33. http://dx.doi.org/10.33155/j.ramd.2020.03.004.

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Objective: To quantify and compare the electromyographic activity of 10 muscles in three pullover exercises. Methods: 15 healthy men, with at least two years of experience in resistance training, executed in random order six repetitions with 60% of 1 Maximum Repetition for three different pullover exercises: lying on a step with a barbell, grip 100% biacromial (E1); lying on a step with a barbell, grip 150% (E2); lying on a Swiss ball with a barbell, grip 100% (E3). Surface electromyography was recorded from the Deltoideus (Clavicular and Spinalis Pars), Pectoralis Major (Clavicular and Sternocostalis Pars), Serratus Anterior, Triceps Brachii (Long Head), Latissimus Dorsi, Infraspinatus, Rectus Abdominis, Obliquus Internus Abdominis and Transversus Abdominis. The normalized Maximum Repetition electromyographyc of each muscle was calculated for each exercise. Results: The most engaged muscles were Infraspinatus (51-53%) and Posterior Deltoid (49-51%). Surface electromyography activity was similar between the E1, E2 and E3 exercises. Conclusions: This study quantified muscular solicitation during pullover exercises performed with 60% Maximum Repetition. The muscles with higher level of activation were the Posterior Deltoid and the Infraspinatus, suggesting that pullover may be a valid option for strengthening the dynamic stabilizing muscles of shoulder joint in trained individuals. No significant differences in muscle electromyography intensity were observed when grip distance and trunk stabilization were altered, showing that these conditions do not influence muscle activation levels. However, the 1 Maximum Repetition was lower when the pullover was performed on a Swiss ball, suggesting that it is possible to obtain higher level of muscle recruitment with lower weights in unstable exercises.
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Amrinsani, Farid, Levana Forra Wakidi, Made Dwi Pandya Suryanta, Dessy Tri Wulandari, and Muhammad Tariq Sadiq. "Detection Signal Electromyograpy using Dry Electrode and Disposible Electrodes on the Upper Extremity when Lifting Weights." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 4, no. 4 (November 24, 2022): 123–30. http://dx.doi.org/10.35882/ijeeemi.v4i4.252.

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One of the biosignals used to identify human muscle impulses is electromyography. Electromyographic signals are frequently utilized as inputs and are designed to help persons with disabilities or aid in the healing process following stroke therapy. According to studies, this occurrence has led to the development of numerous electromyography module sensor designs to meet different purposes. In this work, disposable electrodes and dry electrodes are used to examine the root mean square RMS values of two different electromyography sensor module types. With a 3 kg barber lift action, each module is used to detect signals in the biceps, which are part of the upper extremity muscles. According to the study's findings, the two electromyography modules with disposable electrodes produced data with a p-value of 0.001766368 0.05. It can be inferred that there is no difference between the E1 and E2 modules because the p-value for the t-test of the two modules with dry electrodes is 0.001766368 0.05. However, there is a variance in the amplitude's magnitude, with a difference of 30mV between the disposable and dry electrodes. The results of this study can be used to teach students, and a module developed as a result of it can be applied to other studies to help find electromyographic signals.
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Bansal, A., P. A. Stewart, S. Phillips, S. Liang, and X. Wang. "The Effect of Preload on Electromyographic Train-Of-Four Ratio at the First Dorsal Interosseous Muscle during Spontaneous Recovery from Neuromuscular Blockade." Anaesthesia and Intensive Care 46, no. 6 (November 2018): 614–19. http://dx.doi.org/10.1177/0310057x1804600613.

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Accurate and reliable quantitative neuromuscular function monitoring is desirable for the optimal management of neuromuscular blockade, selection of the most appropriate reversal agent and dosage, and assessing the completeness of reversal to exclude residual neuromuscular blockade. Applying preload to the thumb may affect the precision of electromyography. This study compared the precision and agreement of electromyography with and without preload during recovery from non-depolarising neuromuscular blockade. After induction of anaesthesia and before neuromuscular blockade, the supramaximal current required at the first dorsal interosseous muscle with and without preload was determined. During recovery, train-of-four ratios were recorded using electromyography every 20 seconds. Alternating pairs of measurements (with and without preload) were obtained until spontaneous recovery was achieved. The preload device applied a resting tension of 75–150 g to the thumb. Bland–Altman analysis for repeated measurements was used to assess precision and agreement of electromyography responses with and without muscle preload. Two hundred and seventy-five sets of repeated measurements were collected from 35 participants. The repeatability coefficient for train-of-four ratios recorded by electromyography with a preload was 0.030 (95% confidence intervals, CI, 0.028 to 0.031) versus 0.068 (95% CI 0.064 to 0.072) without. Train-of-four ratios with preload demonstrated a bias of +0.038 (95% CI 0.037 to 0.042) compared to electromyography without, with 95% limits of agreement of 0.035–0.111. Preload significantly improved the precision of electromyographic train-of-four ratios, with 95% of consecutive measurements differing by less than 3%. Furthermore, electromyography with preload demonstrated a positive bias of 0.04 compared with electromyography alone, the clinical significance of which requires further research.
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González-Woge, Osmar R., Bruno A. Salazar Trujillo, Alejandro Elnecavé Olaiz, Miguel Á. González-Woge, Victoria Aragón Luna, Francisca S. Loreto, and Mauricio González-Navarro. "Electrophysiological Changes in Patients with Postoperative Cross-facial Nerve Graft in a Tertiary Care Center." Plastic and Reconstructive Surgery - Global Open 12, no. 7 (July 2024): e5973. http://dx.doi.org/10.1097/gox.0000000000005973.

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Background: Facial nerve palsy is a multifaceted pathology that causes facial disfigurement, affecting eye closure, speech articulation, oral competence, and emotional expression, with functional, aesthetic, and psychological consequences. Standardized electrophysiological tests, such as electroneurography and electromyography, allow an objective evaluation of the functional state of the nerve. Here, we aimed to compare and correlate clinical findings with electromyography in patients with facial nerve palsy, before and after facial nerve reanimation with cross-facial nerve grafts. Methods: Eight patients with traumatic or nontraumatic facial paralysis with complete clinical records who underwent surgical reanimation of facial nerve with cross nerve grafts. Results: The median time from diagnosis to treatment was 173 days (interquartile range = 222). Outcomes were evaluated using standard clinical scales (House-Brackmann, Sunnybrook, and eFACE) and electromyography. The median time for postoperative outcome evaluation was 768 days (interquartile range = 1053). A statistically significant difference was found between pre- and postoperative outcomes according to eFACE (Δ median = 13, P = 0.003), House-Brackmann (Δ median = −2, P = 0.008), and electromyography (Δ mean = 855, P = 0.005). A positive correlation between electromyography and clinical evaluation with eFACE was observed (r = 0.751, 95% confidence interval = 0.174–0.944, P = 0.019). Conclusions: Our results suggest that cross nerve grafts are associated with clinical and electromyographic improvement of the paralyzed face. Electromyography and eFACE scores validate the reliability of eFACE scale for measuring postoperative outcomes. We suggest postoperative electromyography as an objective measure of postoperative evaluation in patients with a delay in improvement at 6–9 months.
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Kohyama, Kaoru. "Electromyography." Nippon Shokuhin Kagaku Kogaku Kaishi 57, no. 6 (2010): 273. http://dx.doi.org/10.3136/nskkk.57.273.

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Rubin, Devon I. "Electromyography." Neurologic Clinics 39, no. 4 (November 2021): i. http://dx.doi.org/10.1016/s0733-8619(21)00089-x.

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Emly, M. S., L. D. Gilmore, and S. H. Roy. "Electromyography." IEEE Potentials 11, no. 2 (April 1992): 25–28. http://dx.doi.org/10.1109/45.127725.

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No??l, M., J. F. Doyon, P. Leblanc, F. Maltais, M. H. Leblanc, C. Simard, and J. Jobin. "ELECTROMYOGRAPHY." Medicine & Science in Sports & Exercise 34, no. 5 (May 2002): S180. http://dx.doi.org/10.1097/00005768-200205001-01005.

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Dissertations / Theses on the topic "Electromyography"

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Small, Gary James. "Simulation and analysis in electromyography." Thesis, University of Leicester, 1998. http://hdl.handle.net/2381/30168.

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This thesis deals with the construction of a medical decision support system, and more specifically with the knowledge sources within the system that facilitate its operation. Simulations of some results from a proportion of these knowledge sources are created, the results correspond to the physical and electrophysiological tests carried out on a patient during neuromuscular diagnosis, and various methods of processing the acquired data for interpretation. Chaos as a method of modelling myoelectric activity is assessed for the purpose of creating an EMG simulation knowledge source and for differentiating between disorder types. The construction of phase portraits, correlation dimension analysis and calculation of Lyapunov exponents are all used to attempt to establish the presence of chaotic behaviour in the myoelectric signal. However, it is proven that the dynamics of the EMG are not chaotic in nature, thus a more suitable model for EMG simulation is chosen. The second knowledge source looked at in detail is that of EMG decomposition. Two methods of clustering MUAPs into their classes are assessed. Firstly the use of a neural network to cluster action potentials represented by correlated features and then non correlated factors. The method proves most effective when non-correlated factors are used. The second method looked at is that of multiple database principal component analysis. This method proves capable of clustering MUAP classes in the presence of noise and MUAP variation. The method is tested on real data and, within the limits of the study, the results are confirmed. A study of time requirements is made for resolution of overlapping action potentials. Two methods are considered - a fast and a more thorough one. It is established that it would be appropriate for these methods to be used in complement with one another, in a method for automatic decomposition that includes both clustering methods discussed along with various other appropriate techniques such as firing time analysis.
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Chiang, Joyce Hsien-yin. "Multivariate analysis of surface electromyography signals." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31587.

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As the primary method of measuring muscle activation, the surface electromyography (sEMG) is of great importance in the study of motor deficits seen in patients with brain injuries and neuromuscular disorders. While clinicians have long intuitively understood that deficits in motor control are related to inappropriate recruitment of muscle synergies across several muscles, sEMG recordings are still typically examined in a univariate fashion. However, most traditional univariate techniques are unable to quantitatively capture the complex interactions between muscles during natural movements. To address this issue, multivariate signal processing techniques are employed in this thesis to study muscle co-activation patterns in patient populations. A method for classification of multivariate sEMG recordings between stroke and healthy subjects is proposed. The proposed classification scheme utilizes the eigenspectra of time-varying covariance patterns between sEMG channels as feature vectors and the support vector machines (SVM) as classifiers. Despite the minimal differences in the RMS profiles of individual muscles, the proposed scheme is able to effectively differentiate between healthy and stroke subjects. Moreover, the classification rate is shown to be monotonically related to the severity of motor impairment. This simple, biologically-inspired approach is able to quantitatively capture the subtle differences in muscle recruitment patterns between two populations and appears to be a promising means to measure motor performance. The other approach to modeling multivariate sEMG utilizes the HMM-mAR framework, which combines hidden Markov models (HMMs] and multivariate autoregressive (mAR) models. Different forms of sEMG data are analyzed, including raw sEMG, amplitude sEMG and carrier sEMG. The classification between healthy and stroke subjects is performed using structural features derived from estimated model parameters. Both the raw and carrier data produce excellent classification performance. The proposed method represents a fundamental departure from most existing classification methods where only amplitude sEMG is analyzed or mAR coefficients are directly used as feature vectors. In contrast, our analysis shows that the structural features of the carrier sEMG can enhance the classification performance and provide additional insights into motor control.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Bell, Aleeta E. "A Wireless Surface Electromyography (WSEMG) System." VCU Scholars Compass, 2006. http://hdl.handle.net/10156/2138.

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Coxon, Andrew. "Computer aided analysis of paraspinal electromyography." Thesis, Teesside University, 2013. http://hdl.handle.net/10149/301616.

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Back pain is responsible for British employees taking 5 million sick days per year. Low back pain (LBP) has a controversial aetiology, with 95% of cases caused by mechanical, non-pathological causes. Current medical treatment for mechanical LBP is an exercise regime designed to restore lumbar stability. Unfortunately this is often a painful process, and therefore difficult to complete. Electromyography (EMG) variables have been shown to be able to discriminate between subjects with and without mechanical LBP. If these variables could be shown to have discriminatory abilities before the actual onset of LBP they could be used to predict future episodes of LBP in currently otherwise asymptomatic individuals and allow the rehabilitation process to begin before the onset of symptoms. However a number of problems persist with EMG measurement. The test must be administered under closely controlled conditions in order to record clean signals, and interpretation of this data requires special tools and training. This thesis aims to make contributions in three main areas; Automated Analysis: Manual analysis of a large store of EMG raw data files is a time consuming process. If outcome variables that require manual interpretation are included this effect is magnified, with necessary questions being raised as to the accuracy and consistency levels that can be maintained. A successfully implemented automated system would reduce analysis time and improve confidence in the outcome variables recorded. Investigations will also be carried out into the addition of error detection and correction algorithms that could be performed during the analysis procedure. ECG Contamination Removal: Previous studies have identified ECG as a potential source of contamination of lumbar EMG signals. Compensation for this effect is non-trivial as the ECG frequencies overlap an area of interest in the EMG spectrum, and the ECG signal characteristics would change over a fatiguing EMG test. The Independent Component Analysis method will be used to attempt to extract and remove the ECG component of a recorded signal whilst preserving the underlying EMG data. If this is successful an analysis of the effect that removing ECG contamination has on EMG outcome variables will be presented. Colour Map Diagnostic Method: Colour maps are an excellent method of presenting a large amount of signal data to a researcher, and have been used to discriminate between LBP and non-LBP subjects. The usefulness of this diagnostic display too has been somewhat limited however by the difficulty in producing such maps. Investigations will be carried out into methods that will be able to quickly and accurately produce these colour maps to the same specification as earlier studies. Colour maps of subjects that did not report LBP at the time of testing, but who then did report LBP at their next presentation, will be examined to assess whether or not EMG colour maps can be used as a predictor for low back pain.
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Peterson, Andrew Jay II. "Development of a Modular Electromyography System." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78693.

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The design of current electromyography (EMG) systems focuses on specific applications. One design focuses on the use of bipolar electrodes to monitor a single muscle group. Several of these electrodes can then be used to monitor different muscles on the body simultaneously. Another design places many electrodes in an array on a limb or over a single muscle. One cannot be used for the other. Additionally the design of an EMG system must account for several sources of noise that can be orders of magnitude larger than the EMG signal itself. The goal of this work was to design an active EMG electrode that could be used as bipolar electrodes or in an electrode array. Two electrodes were designed and tested. One design only worked in bipolar and the other did not possess the desired noise immunity. Explanations to the behavior of the electrodes are presented along with possible modifications the the electrodes to achieve the desired performance.
Master of Science
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Fang, Yinfeng. "Interacting with prosthetic hands via electromyography signals." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/interacting-with-prosthetic-hands-via-electromyography-signals(a1a08ee8-6337-416b-a955-0ff9737beb56).html.

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It is a challenge to provide robust electromyographic signals or patterns for prosthetic hand systems. This thesis proposes a comprehensive methodology to address the challenge with respect to surface electromyographic signal acquisition, electrode layouts, electromyographic features and user training strategies. A multi-channel surface electromyography acquisition platform is customised to conduct researches throughout this thesis. First of all, a zig electrode layout is proposed to provide more repeatable electromyographic signals. This electrode layout is instantiated into an electrode sleeve, which is specially presented to fix the electrodes on the forearm and acquire forearm muscular activities. Our experiments prove that zig electrode layout has better electromyographic signal repeatability than conventional parallel electrode layout in different tests. Secondly, this thesis establishes a bridge connecting forearm muscles’ functions and multi-channel electromyographic signals by means of electromyographic map and magnitude-angle feature. The electromyographic map is proposed to explore how channels of electromyographic signals correspond to individual forearm muscles. In order to understand hand motion physiological principles, magnitude-angle feature is presented to identify the most active muscles during hand motions. Thirdly, to enhance patients’ ability in generating intuitive prosthetic control commands, a training strategy based on visual trajectory feedback is proposed. In the training procedure, users are able to adjust themselves according to classifier feedback. This training procedure can significantly improve patients’s ability in generating repeatable electromyographic pattern, no matter the feedback information is able or disable.
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Aula, Mercy, and Ken Silver. "Evaluation of Tomato Farmworker Ergonomics using Electromyography." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/150.

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BACKGROUND AND SIGNIFICANCE. Various studies have identified physical risk factors for musculoskeletal disorders (MSDs) associated with hand harvesting of crops, due to repetitive motions, lifting or carrying of heavy loads, and working in flexed trunk postures. A paucity of research exists on ergonomic risks to tomato farmworkers. The available studies have estimated risk based on self-reports of injury and semi-quantitative measures. METHODS. A partnership between East Tennessee State University (ETSU) and a migrant health center (Rural Medical Services) has identified some of the occupational health needs of this population. With the aid of surface electromyography (sEMG), an objective-quantitative tool, a more refined understanding of ergonomic health risks for this population will be developed. The purpose of this study is to evaluate the muscle load and fatigue induced on the anterior deltoid and upper trapezius muscles during three tasks: driving stakes into the ground, tying of tomatoes to stakes, and hoisting of a 35-pound bucket full of tomatoes. Space for a mock test plot, where the study will be conducted, is available at the ETSU’s Valleybrook facility. Muscle activity recordings will be obtained from 15 tomato farmworkers. Spectral analysis and the amplitude probability distribution function (APDF) will be used to assess fatigue and muscle load respectively. A repeated measures ANOVA will be employed in the study. ANTICIPATED RESULTS. Findings of this study should show that localized muscle loading increases muscle fatigue. Neuromuscular demand should vary, depending on the type of task performed. Stake pounding may show a higher neuromuscular demand than the other tasks. AIM 1. Evaluate the magnitude of muscle activity during three simulated tomato-field tasks and measure the intensity of movement during the stake pounding task. AIM 2. Compare estimates of muscle fatigue and muscle load induced on the anterior deltoid and upper trapezius muscles during three simulated tomato-field tasks.
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Huynh, Linh. "Clustering Sleep-Wake Transitions in Electromyography Data." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492762116527713.

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Kaplanis, Prodromos Andrew. "Surface electromyography in the assessment of neuromuscular disorders." Thesis, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413164.

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McKeone, James P. "Statistical methods for electromyography data and associated problems." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/79631/1/James_McKeone_Thesis.pdf.

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This thesis proposes three novel models which extend the statistical methodology for motor unit number estimation, a clinical neurology technique. Motor unit number estimation is important in the treatment of degenerative muscular diseases and, potentially, spinal injury. Additionally, a recent and untested statistic to enable statistical model choice is found to be a practical alternative for larger datasets. The existing methods for dose finding in dual-agent clinical trials are found to be suitable only for designs of modest dimensions. The model choice case-study is the first of its kind containing interesting results using so-called unit information prior distributions.
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Books on the topic "Electromyography"

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Merletti, Roberto, and Philip Parker, eds. Electromyography. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471678384.

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National Institutes of Health (U.S.). Office of Clinical Center Communications, ed. Electromyography. [Bethesda, Md.?]: Clinical Center Communications, National Institutes of Health, 1989.

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1921-, Ludin Hans-Peter, ed. Electromyography. Amsterdam: Elsevier, 1995.

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Fishman, Loren M., and Allen N. Wilkins. Functional Electromyography. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-60761-020-5.

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McMillan, Hugh J., and Peter B. Kang, eds. Pediatric Electromyography. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61361-1.

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1939-, Brown William F., and Bolton Charles Francis 1932-, eds. Clinical electromyography. 2nd ed. Boston: Butterworth-Heinemann, 1993.

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Thayer, Sataloff Robert, ed. Laryngeal electromyography. 2nd ed. San Diego, CA: Plural Publishing, 2006.

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Thayer, Sataloff Robert, ed. Laryngeal electromyography. Clifton Park, NY: Thomson/Delmar Learning, 2003.

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1939-, Brown William F., and Bolton Charles Francis 1932-, eds. Clinical electromyography. Boston: Butterworths, 1987.

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1924-, Johnson Ernest W., and Pease William S, eds. Practical electromyography. 3rd ed. Baltimore: Williams & Wilkins, 1997.

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Book chapters on the topic "Electromyography"

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Challis, John H. "Electromyography." In Experimental Methods in Biomechanics, 69–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52256-8_5.

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Hartmann, J. Edward. "Electromyography." In Encyclopedia of Otolaryngology, Head and Neck Surgery, 738–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-23499-6_621.

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Carlson, Hans L. "Electromyography." In The Inflammatory Myopathies, 111–25. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-827-0_7.

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Gentilcore-Saulnier, Evelyne, Cindy Auchincloss, and Linda McLean. "Electromyography." In The Overactive Pelvic Floor, 175–203. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22150-2_12.

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Toleikis, J. Richard. "Electromyography." In Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals, 137–64. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0308-1_7.

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van Putten, Michel J. A. M. "Electromyography." In Series in Biomedical Engineering, 133–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-69890-6_7.

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Santoro, Lucio, and Fiore Manganelli. "Electromyography." In Acquired Neuromuscular Disorders, 25–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06731-0_2.

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Ghosh, Shampa, Areeba Aziz, Dhondup Namgyal, and Jitendra Kumar Sinha. "Electromyography." In Encyclopedia of Sexual Psychology and Behavior, 1–4. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08956-5_167-1.

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Proske, Uwe, David L. Morgan, Tamara Hew-Butler, Kevin G. Keenan, Roger M. Enoka, Sebastian Sixt, Josef Niebauer, et al. "Electromyography." In Encyclopedia of Exercise Medicine in Health and Disease, 276–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_298.

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Toleikis, J. Richard. "Electromyography." In Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals, 103–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46542-5_7.

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Conference papers on the topic "Electromyography"

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Sponsler, Jeffrey L., and Charles Parker. "Automated Electromyography Analysis: Update." In Modelling, Simulation and Identification. Calgary,AB,Canada: ACTAPRESS, 2018. http://dx.doi.org/10.2316/p.2018.858-001.

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Liu, Yanchen, and King Wai Chiu Lai. "Surface Electromyography Relation Network." In 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). IEEE, 2024. http://dx.doi.org/10.1109/arso60199.2024.10557822.

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Grammar, Alex W., and Robert L. Williams. "Surface Electromyographic Control of a Humanoid Robot." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13345.

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This paper details the development of an open-source surface electromyographic interface for controlling 1-DOF for the DARwIn-OP humanoid robot. This work also details the analysis of the relationship between surface electromyographic activity of the Biceps Brachii muscle and the angle of the elbow joint for the pseudo-static unloaded arm case. The human arm was mechanically modeled for a two link system actuated by a single muscle. The SEMG activity was found to be directly proportional to joint angle using a combination of custom joint angle measuring hardware and a surface electromyographic measuring circuit. This relationship allowed for straightforward control of the robot elbow joint directly. The interface was designed around the Arduino Microcontroller; another open-source platform. Software for the Arduino and DARwIn-OP were drawn from open source resources, allowing the entire system to be comprised of open-source components. A final surface electromyographic measuring and signal conditioning circuit was constructed. Data recording and processing software was also coded for the Arduino, thus achieving control of the robotic platform via surface electromyography.
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Zawawi, T. N. S. T., A. R. Abdullah, E. F. Shair, I. Halim, and O. Rawaida. "Electromyography signal analysis using spectrogram." In 2013 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2013. http://dx.doi.org/10.1109/scored.2013.7002599.

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Pajntar, M., D. Rudel, E. Roskar, and M. Pisljar. "Electromyography of the human uterus." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94886.

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Sponsler, Jeffrey L. "Automated Analysis of Electromyography Data." In Biomedical Engineering. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.765-004.

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Gourmelon, Lena, and Geert Langereis. "Contactless sensors for Surface Electromyography." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260733.

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Gourmelon, Lena, and Geert Langereis. "Contactless sensors for Surface Electromyography." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397956.

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Caon, Maurizio, Francesco Carrino, Antonio Ridi, Yong Yue, Omar Abou Khaled, and Elena Mugellini. "Kinesiologic electromyography for activity recognition." In the 6th International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2504335.2504372.

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Caldwell, Patrick, Richard Al-Bayaty, Chris Kellar, and Il-Seop Shin. "Biomechanics: Surface electromyography prosthesis control." In 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2012. http://dx.doi.org/10.1109/bmei.2012.6512954.

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Reports on the topic "Electromyography"

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Gallardo, Philip, Giannis Giakas, Giorgos K. Sakkas, and Panagiotis V. Tsaklis. Are surface electromyography parameters indicative of post-activation potentiation/post-activation performance enhancement, in terms of twitch potentiation and voluntary performance? A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2024. http://dx.doi.org/10.37766/inplasy2024.6.0047.

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from the non-cerebral sensors that contribute most significantly to separability of data acquired during seizures from non-seizure data. Post-processing of the data using linear discriminant analysis (LDA) shows that seizure data are strongly separable from non-seizure data based on features derived from the signals recorded. The mean area under the receiver operator characteristic (ROC) curve for each individual patient that experienced a seizure during data collection, calculated using LDA, was 0.9682. The features that contribute most significantly to seizure detection differ for each patient. The results show that a multimodal approach to seizure detection using the specified sensor suite is promising in detecting seizures with both sensitivity and specificity. Moreover, the study provides a means to quantify the contribution of each sensor and feature to separability. Development of a non-electroencephalography (EEG) based seizure detection device would give doctors a more accurate seizure count outside of the clinical setting, improving treatment and the quality of life of epilepsy patients.
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Aihara, Shimpei, Ryusei Shibata, Ryosuke Mizukami, Takara Sakai, and Akira Shionoya. Electromyograph Estimation of Wheelchair Operators Using Deep Learning. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317554.

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Lange, Jonathan. The effects of low, moderate, and high self-disclosure on electromyographic, psychogalvanic, and attitudinal response. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2497.

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Moon, Barbara. An electromyographic comparison of muscle action potentials of listeners presented time-compressed and normal speech stimuli. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.682.

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Miller, Catherine. An electromyographic comparison of muscle action potentials of adult stutterers during signalled expectancy and non-expectancy to stutter. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2886.

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Phonomyography and electromyography: correlations and differences from amplitude and frequency parameters. Hanno Felder, Laura Steffny, Daniel Friemert, December 2018. http://dx.doi.org/10.14526/2070-4798-2018-13-4-144-149.

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Selected topics in surface electromyography for use in the occupational setting: expert perspectives. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, March 1992. http://dx.doi.org/10.26616/nioshpub91100.

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Volunteer Kinematics and Reaction in Lateral Emergency Maneuver Tests. SAE International, November 2013. http://dx.doi.org/10.4271/2013-22-0013.

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It is important to understand human kinematics and muscle activation patterns in emergency maneuvers for the design of safety systems and for the further development of human models. The objective of this study was to quantify kinematic behavior and muscle activation in simulated steering tests in several realistic conditions. In total 108 tests were performed with 10 volunteers undergoing purely lateral maneuvers at 5 m/s2 deceleration or simulated lane change maneuvers at 5 m/s2 peak acceleration and peak yaw velocity of 25 °/s. Test subjects were seated on a rigid seat and restrained by a 4-point belt with retractor. Driver subjects were instructed to be relaxed or braced and to hold the steering wheel while passenger subjects were instructed to put their hands on their thighs. Subjects were instrumented with photo markers that were tracked with 3D high-speed stereo cameras and with electromyography (EMG) electrodes on 8 muscles. Corridors of head displacement, pitch and roll and displacement of T1, shoulder, elbow, hand and knee were created representing mean response and standard deviation of all subjects. In lane change tests for the passenger configuration significant differences were observed in mean peak of head left lateral displacement between the relaxed and the braced volunteers, i.e. 171 mm (σ=58, n=21) versus 121 mm (σ=46, n=17), respectively. Sitting in a relaxed position led to significantly lower muscle activity of the neck muscles. It was concluded that significantly more upper body motion and lower muscle activity was observed for relaxed subjects than for braced subjects.
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