Tesi sul tema "Signal EMG du muscle"
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Portero, Pierre. "Adaptation du muscle humain à la microgravité simulée : apport de l'analyse spectrale du signal EMG". Compiègne, 1993. http://www.theses.fr/1993COMP566S.
Liu, Ming Ming. "Dynamic muscle force prediction from EMG signals using artificial neural networks". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq20875.pdf.
Moss, Christa Wheeler. "INVESTIGATION OF BELOW INJURY MUSCLE SIGNALS AS A COMMAND SOURCE FOR A MOTOR NEUROPROSTHESIS". Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1315924472.
Joubert, Michelle. "A finite element model for the investigation of surface EMG signals during dynami contraction". Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-09042008-105943/.
Ayachi, Fouaz Sofiane. "Étude du recrutement des unités motrices par analyse du signal EMG de surface". Compiègne, 2011. http://www.theses.fr/2011COMP1998.
The central nervous system control the movement through the activation of the motors units (MUs), the smallest muscle functional structure. The MU produce electrical activity that can be detected by the technique of surface electromyography (sEMG). The stochastic nature of EMGs signal is mainly due to the superposition of trains of MU action potentials ( MUAPT) (spatial recruitment), the MUAPT are characterized by their discharge frequency (temporal recruitment) and the shape of the action potential (PA), which depends on some factors methodological and intrinsic to the muscle. The aim of this thesis is to study the possibilities and limitations of using the shape analysis of the EMGs signal’s probability density function (DP) as an indicator on MU recruitment strategies and motor control. This analysis seems relevant since the EMGs signal is the sum of random processes, the MUAPT. The contribution of this thesis is divided into two parts : the proposal of a complete model generation inspired by recent work from the literature. This model takes into consideration, for the EMGs signal generation, many physiological, anatomical and nervous parameters, as well as the force generation. Such consideration allows for greater realism in the simulation. The second part concerns several studies, simulation and experimental analysis of EMGs monopolar signals detected on the biceps brachii during isometric contractions isotonic (constant force) / anisotonique (graduated force). The aim is to extract information on the pattern of MU recruitment from these signals. In this context, we tested two approaches based on the shape analysis of the EMGs signal’s DP which are the Higher Order Statistics (HOS), and a recent algorithm, the Core Shape Modeling (CSM). The results indicate a high sensitivity of the proposed descriptors for separating classes of signals (force, sync level of the discharge), the filtering effect of adipose tissue and non propagating component. The efficiency of the classification depends the other hand of the anatomy and the number of MU which composed the muscle. For neuronal factors, both recruitment strategies tested give similar trends with one of them is physiologically more realistic. In addition, analysis of shape (SOS), in some cases, gives us information about muscle anatomy of the concerned muscle, in terms of MU position relative to the electrode. Concerning performance of classification, the algorithm CSM gives a result relatively better than SOS approach, either in simulation or experimentation. To summarize, this thesis is listed as an exploratory process of the shape analysis potential of the EMGs signal’s DP in order to extract the information on the muscular activation’s modalities. A lot of efforts are still required in accordance with the perspectives offered
KHALIL, ULLAH XXX. "Extraction of Muscle Anatomical and Physiological Information from Multi-Channel Surface EMG Signals: Applications in Obstetrics". Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2642318.
Rahman, Md Arifur. "A comparative study to explore the advantages of passive exoskeletons by monitoring the muscle activity of workers". Thesis, Högskolan i Gävle, Avdelningen för elektroteknik, matematik och naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35150.
Rojas, Martínez Mónica. "Analysis of forearm muscles activity by means of new protocols of multichannel EMG signal recording and processing". Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/124507.
Voluntary movements are achieved by the contraction of skeletal muscles controlled by the Central and Peripheral Nervous system. The contraction is initiated by the release of a neurotransmitter that promotes a reaction in the walls of the muscular fiber, producing a biopotential known as Motor Unit Action Potential (MUAP) that travels from the neuromuscular junction to the tendons. The surface electromyographic signal records the continuous activation of such potentials over the surface of the skin and constitutes a valuable tool for the diagnosis, monitoring and clinical research of muscular disorders as well as to infer motion intention not only regarding the direction of the movement but also its power. In the study of diseases of the neuromuscular system it is necessary to analyze the level of activity, the capacity of production of strength, the load-sharing between muscles and the probably predisposition to muscular fatigue, all of them associated with physiological factors determining the resultant muscular contraction. Moreover, the use of electrode arrays facilitate the investigation of the peripheral properties of the active Motor Units, the anatomical characteristics of the muscle and the spatial changes induced in their activation of as product of type of movement or power of the contraction.The main objective of this thesis was the design and implementation of experimental protocols, and algorithms to extract information from multichannel sEMG signals in 1 and 2 dimensions of the space. Such information was interpreted and related to pathological events associated to two upper-limb conditions: Lateral Epicondylitis and Repetitive Strain Injury. It was also used to identify the direction of movement and contraction strength which could be useful in applications concerning the use of biofeedback from EMG like in robotic- aided therapies and computer-based rehabilitation training.In summary, the most relevant contributions are:§The definition of experimental protocols intended to find optimal regions for the recording of sEMG signals. §The definition of indices associated to the co- activation of different muscles. §The detection of low-quality signals in multichannel sEMG recordings.§ The selection of the most relevant EMG channels for the analysis§The extraction of a set of features that led to high classification accuracy in the identification of tasks.The experimental protocols and the proposed indices allowed establishing that imbalances between extrinsic muscles of the forearm could play a key role in the pathophysiology of lateral epicondylalgia. Results were consistent in different types of motor task and may define an assessment framework for the monitoring and evaluation of patients during rehabilitation programs.On the other hand, it was found that features associated with the spatial distribution of the MUAPs improve the accuracy of the identification of motion intention. What is more, features extracted from high density EMG recordings are more robust not only because it implies contact redundancy but also because it allows the tracking of (task changing) skin surface areas where EMG amplitude is maximal and a better estimation of muscle activity by the proper selection of the most significant channels.
Cao, Hua. "Modélisation et évaluation expérimentale de la relation entre le signal EMG de surface et la force musculaire". Compiègne, 2010. http://www.theses.fr/2010COMP1856.
The estimation of the force generated by a muscle is important in biomechanical studies and clinical applications. As this force cannot be measured directly, the surface electromyography signal (SEMG), reflecting the level of muscle activation, is used to quantify the force developed. However, all the factors controlling an isometric contraction do not influence the force and the SEMG simultaneously. The aim of this study is to develop a simulation model of SEMG and force in order to study the EMG-force relationship. For this purpose, we first developed a new method to simulate the muscle force from an existing EMG model. We tested the complete model with two recruitment strategies and studied the influence of target force duration. Then we used a Monte Carlo method to study the sensitivity of the model to various input physiological parameters. Two existing criteria (EMG-force and force-force variability relationships) and a new criterion (error between the target force and the generated force) were used to optimize the parameters in constant target force contractions. This new criterion was then used in variable target force contractions (sinusoidal or triangular target) in order to obtain the optimum parameter ranges. Finally, to evaluate our model, we performed experiments and simulations for the biceps. The results have shown that our EMG-force model can qualitatively simulate the behaviour of the biceps for isotonic and anisotonic contractions
Grönlund, Christer. "Spatio-temporal processing of surface electromyographic signals : information on neuromuscular function and control". Doctoral thesis, Umeå universitet, Institutionen för strålningsvetenskaper, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-958.
Potes, Cristhian Mauricio. "Assessment of human muscle fatigue from surface EMG signals recorded during isometric voluntary contractions by using a cosine modulated filter bank". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Emrani, Mahdieh Sadat. "Relationships Between Motor Unit Anatomical Characteristics and Motor Unit Potential Statistics in Healthy Muscles". Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/897.
Sahki, Nassim. "Méthodologie data-driven de détection séquentielle de ruptures pour des signaux physiologiques". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0185.
This thesis deals the problem of change-point detection in the sequential framework where the signal is assumed to be observed in real time and the phenomenon changes from its "normal" starting state to an "abnormal" post-change state. The challenge of sequential detection is to minimize the detection delay, subject to a tolerable false alarm limit. The idea is to sequentially test for the existence of a change-point by recursively writing the detection statistic as a function of the score, which replaces the Log-Likelihood Ratio when the data distribution is unknown. The detection procedure is thus based on a recursive statistic, a detection threshold and a stopping rule. In a first work, we consider the score-CUSUM statistic and propose to evaluate the detection performance of some detection thresholds. Two thresholds come from the literature, and three new thresholds are constructed by a method based on simulation: the first is constant, the second instantaneous and the third is a dynamic "data-driven" version of the previous one. We rigorously define each of the thresholds by highlighting the different notions of the controlled false alarm risk according to the threshold. Moreover, we propose a new corrected stopping rule to reduce the false alarm rate. We then perform a simulation study to compare the different thresholds and evaluate the corrected stopping rule. We find that the conditional empirical threshold is the best to minimize the detection delay while maintaining the tolerated risk of false alarms. However, on real data, we recommend using the data-driven threshold as it is the easiest to build and use for practical implementation. In the second part, we apply our data-driven detection methodology to physiological signals, namely temporal signals recorded at the level of the upper trapezium beam of 30 subjects performing different office activities. The methodology is subject-activity dependent; it includes the on-line estimation of the signal parameters and the construction of the data-driven threshold on the start of the signal of each activity of each subject. The objective was to identify regime changes during an activity in order to assess the level of muscle solicitation and EMG signal variability, which are associated with muscle fatigue. The results obtained confirmed the ease of our methodology and the performance and practicality of the proposed data-driven threshold. Subsequently, the results allowed the characterization of each type of activity using mixed models
Kamei, Ken, e ken kamei@student rmit edu au. "The reliability and validity of surface electromyography to study the functional status of the lumbar paraspinal muscles". RMIT University. Health Science, 2010. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20100210.145414.
North, Graham M. "Signal characteristics of surface EMG". Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=55624.
Goncalves, Carlos Alberto. "Techniques d'évaluation de la vitesse de conduction des potentiels d'action musculaires : application à l'interprétation des remaniements spectraux de l'électromyogramme". Compiègne, 1985. http://www.theses.fr/1985COMPI195.
Plassman, Brenda L. 1957. "INSPIRATORY MUSCLE RESPONSES TO OCCLUSION (EMG)". Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/291244.
Bida, Oljeta. "Influence of electromyogram (EMG) amplitude processing in EMG-torque estimation". Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd--01295-140510/.
Keywords: system identification; EMG; optimal sampling rate; linear torque model; EMG-torque model; EMG amplitude; torque. Includes bibliographical references (p. 77-86).
Szöllösi, Tomáš. "Měření EMG a posouzení vlivu zátěže". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-374762.
Young, Richard N. (Richard Norman). "The effect of muscle contractility on surface EMG /". Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60423.
Using surface electrodes we examined the EMG for 4 contraction levels at 5 ankle positions over 60$ sp circ$ of ankle rotation. The change in median frequency with muscle length identified a significant shift in the power spectrum to lower frequencies with increasing muscle length.
To further investigate our results we performed three other experiments: First, using X-rays to identify the relative change in distance between two intramuscular wire electrodes we found the change in TA muscle length for this study to be 15% over the 60$ sp circ$ of ankle rotation. Second, to test for synergist contamination we used fine wire electrodes in the Extensor Digitorum Longus and the Peroneus. We found no evidence to support significant contamination. Third, we examined the role of smaller electrodes with a smaller interelectrode distance on our findings. The EMG showed drastic changes with even a slight shift in electrode position most likely due to the large number of innervation zones.
Therefore, the results indicate a shift in the power spectrum with a change in muscle length. In addition, surface EMG results are heavily dependent on the innervation zones and on the electrode geometry, all of which are important considerations in developing the EMG as an accurate diagnostic tool.
Cutts, Alison. "Surface EMG as an indicator of muscle force". Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328893.
E, N. Shaban, e V. Abousetta S. "Online EMG signal analysis for Parkinson’s tremor determination". Thesis, Boston, USA, 2020. http://openarchive.nure.ua/handle/document/11838.
Shaban, N. E., e V. S. Abousetta. "Online EMG signal analysis for Parkinson’s tremor determination". Thesis, Boston, USA, 2020. http://openarchive.nure.ua/handle/document/13654.
Keating, Jennifer. "Relating forearm muscle electrical activity to finger forces". Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/580.
Liu, Lukai. "A Study of Myoelectric Signal Processing". Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/34.
Konté, Cheick-Suhaibou. "Modélisation de l'atténuation du signal EMG diaphragmatique de surface". Grenoble, 2010. http://www.theses.fr/2010GRENS009.
The detection of diaphragmatic EMG signal by surface is a hard measure. The attenuation induced by the different tissues lying on the way diaphragm electrode and low amplitude potentials are generated to cause a signal to noise ratio which makes the analysis of the signal difficult. In this thesis, we propose to evaluate the levels of attenuation at two steps: A first level called "large volume" of considering the thorax as homogeneous and consists of lung tissue and to assess the diaphragmatic attenuation as a function of distance fiber electrode and the conductivity of the lung tissue. The desire to compare modeling results with experimental measurements, led us to consider the specific case of measuring esophageal coupled with phrenic nerve stimulation. We used an experimental design to analyze the different parameters of influence. This first approach was based on an analytical model. A second level is to take into account the effect of inhomogeneities on the path fiber electrode. This stage, conducted prospectively, is here focused on the analysis of the influence of ratings on the signal attenuation. At this scale, the confrontation with the measurement becomes more difficult and we propose a study based solely on modeling. The latter is conducted by using finite elements
Magbonde, Abilé. "Séparation de signaux électromyographiques de surface à haute densité pour la réduction de la diaphonie". Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT008.
The use of surface electromyographic (EMG) signals in a biomechanical, therapeutic, or control perspective requires a high spatial selectivity of the signals. In the case of adjacent muscles, this constraint is rarely met, making EMG signal utilization challenging. Crosstalk, or signal contamination inherent in recordings, must be eliminated.This thesis aims to propose methods for separating crosstalk when the extensor muscles of the index and little finger contract simultaneously. Our work focuses on extracting the muscle activity associated with each muscle in a source separation context. To achieve this, the initial part of the work involved creating a high-quality and usable database by non-invasively recording EMG signals from electrode arrays and formatting it for the scientific community's use. In the next phase, various signal processing approaches were employed to reduce crosstalk. Ultimately, we present a method based on non-negative tensor decomposition of the PARAFAC2 type applied to the envelopes of EMG signals obtained through root mean square (RMS) on sliding windows to separate the activity of each muscle. The uniqueness of the proposed model lies in the addition of two primary constraints in addition to those associated with PARAFAC2. The first constraint is related to muscle physiology and involves spatial continuity in the acquisition maps, while the second constraint is specific to our experimental protocol and introduces sparsity.The model was tested and validated on real signals and artificial mixtures of real signals. The proposed method demonstrates superior separation performance compared to the NN-PARAFAC2 algorithm and, more broadly, relative to conventional source separation methods. The document concludes by discussing its limitations and potential future directions
Rababy, Nada. "Estimation of EMG conduction velocity using system identification". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63819.
Cheng, Lui. "Improvement of signal-to-noise ratio in uterine EMG recordings". Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/1548.
Tortopidis, Dimitrios Steliou. "Bite force and EMG studies on the jaw-closing muscles". Thesis, University of Glasgow, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361012.
Zbořilová, Nicol. "Mobilní EMG modul pro využití v terapii". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241999.
Kaya, Ryan D. "Muscle Strength, Motor Units, and Aging". Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1365769270.
Sachs, Christina Michelle. "EMG analysis of type IIb muscle fibers correlated with blood lactate accumulation /". free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418061.
Platt, Ronald S. "Signal properties of respiratory muscle electromyograms". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0019/NQ47909.pdf.
Raghavendra, Jammalamadaka. "Optomyography: Detection of muscle surface displacement using reflective photo resistor". Thesis, KTH, Skolan för teknik och hälsa (STH), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159204.
Människokroppens aktiviteter genererar olika mätbara signaler som kan vara biokemiska, elektriska, mekaniska. Naturligtvis är det viktigt att kunna mäta dessa signaler för att kunna veta om kroppens olika organ fungerar som de ska göra eller inte. När det gäller rent mekaniska aktiviteter genereras signaler av olika typer som beskriver denna aktivitet, såsom tryck, temperatur och förflyttning. Om en sådan process avviker från det normala fallet, kommer kroppssystemets prestanda att försämras. Ett antal tekniker utvecklades för att kunna mäta dessa signaler och uppnå djupare förståelse av möjliga icke-normala medicinska konsekvenser. Förflyttningssensorer, laser optik, elektroder, accelerometrar och mikrofoner är exempel på mättekniker som används för att studera elektrisk och mekanisk aktivitet i muskelvävnader. Målet med detta arbete är att hitta, utveckla och implementera en enkel, användarvänlig, beröringsfri, optisk teknik för att mäta och studera de ytliga förflyttningar som förändrar hudytans landskap och resulterar från muskelaktiviteter och rörelser. Detta projekt resulterade i en enkel prototyp för ett mätinstrument som ser ut som ett armband med två fotoelektriska sensorer som används för att mäta hudytans förändringar på grund av olika arm- och handrörelser.
Rasheed, Sarbast. "A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition". Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/934.
This thesis addresses the process of EMG signal decomposition by developing an interactive classification system, which uses multiple classifier fusion techniques in order to achieve improved classification performance. The developed system combines heterogeneous sets of base classifier ensembles of different kinds and employs either a one level classifier fusion scheme or a hybrid classifier fusion approach.
The hybrid classifier fusion approach is applied as a two-stage combination process that uses a new aggregator module which consists of two combiners: the first at the abstract level of classifier fusion and the other at the measurement level of classifier fusion such that it uses both combiners in a complementary manner. Both combiners may be either data independent or the first combiner data independent and the second data dependent. For the purpose of experimentation, we used as first combiner the majority voting scheme, while we used as the second combiner one of the fixed combination rules behaving as a data independent combiner or the fuzzy integral with the lambda-fuzzy measure as an implicit data dependent combiner.
Once the set of motor unit potential trains are generated by the classifier fusion system, the firing pattern consistency statistics for each train are calculated to detect classification errors in an adaptive fashion. This firing pattern analysis allows the algorithm to modify the threshold of assertion required for assignment of a motor unit potential classification individually for each train based on an expectation of erroneous assignments.
The classifier ensembles consist of a set of different versions of the Certainty classifier, a set of classifiers based on the nearest neighbour decision rule: the fuzzy k-NN and the adaptive fuzzy k-NN classifiers, and a set of classifiers that use a correlation measure as an estimation of the degree of similarity between a pattern and a class template: the matched template filter classifiers and its adaptive counterpart. The base classifiers, besides being of different kinds, utilize different types of features and their performances were investigated using both real and simulated EMG signals of different complexities. The feature sets extracted include time-domain data, first- and second-order discrete derivative data, and wavelet-domain data.
Following the so-called overproduce and choose strategy to classifier ensemble combination, the developed system allows the construction of a large set of candidate base classifiers and then chooses, from the base classifiers pool, subsets of specified number of classifiers to form candidate classifier ensembles. The system then selects the classifier ensemble having the maximum degree of agreement by exploiting a diversity measure for designing classifier teams. The kappa statistic is used as the diversity measure to estimate the level of agreement between the base classifier outputs, i. e. , to measure the degree of decision similarity between the base classifiers. This mechanism of choosing the team's classifiers based on assessing the classifier agreement throughout all the trains and the unassigned category is applied during the one level classifier fusion scheme and the first combiner in the hybrid classifier fusion approach. For the second combiner in the hybrid classifier fusion approach, we choose team classifiers also based on kappa statistics but by assessing the classifiers agreement only across the unassigned category and choose those base classifiers having the minimum agreement.
Performance of the developed classifier fusion system, in both of its variants, i. e. , the one level scheme and the hybrid approach was evaluated using synthetic simulated signals of known properties and real signals and then compared it with the performance of the constituent base classifiers. Across the EMG signal data sets used, the hybrid approach had better average classification performance overall, specially in terms of reducing the number of classification errors.
Loudon, Gareth. "Advances in knowledge based signal processing : a case study in EMG decomposition". Thesis, University of Leicester, 1991. http://hdl.handle.net/2381/34799.
Sahlén, Adam. "Muscle activity in m.pectoralis major during bench press variations in healthy young males". Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-29361.
Rajotte, Kiriaki J. "Electromyogram (EMG) Signal Analysis: Extraction of a Novel EMG Feature and Optimal Root Difference of Squares (RDS) Processing in Additive Noise". Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1339.
Hewitt, G. "A study of developmental and intersubject differences in the use of EMG biofeedback to improve voluntary control of precise, directional contractions... frontalis muscles : Implications for clinical use". Thesis, Roehampton University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382549.
Hoeven, Johannes Harmen van der. "Conduction velocity in human muscle an EMG study in fatigue and neuromuscular disorders /". [S.l. : [Groningen] : s.n.] ; [University Library Groningen] [Host], 1995. http://irs.ub.rug.nl/ppn/142995223.
Bene, Cheryl Renee. "Visually displayed-EMG biofeedback : training muscle relaxation in hearing impaired children :a thesis". Scholarly Commons, 1988. https://scholarlycommons.pacific.edu/uop_etds/505.
Szabó, Balázs. "High density EMG based estimation of lower limb muscle characteristics using feature extraction". Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289859.
Takahashi, Luciana Sanae Ota. "Análise da relação entre eletromiografia e força do músculo quadríceps em exercícios resistidos". Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/82/82131/tde-30072007-172711/.
The relationship between electromyography and force is largely investigated, however, such relation is not yet fully understood, still requiring better foundation. One of the reasons that might cause discrepancies between studies lies on directly calculating a single muscle force. Our approach handles the electromyographic signal coupled with a biomechanical model of the joint for assessment of internal muscle forces. This study aims at an evaluation of electromyographic behavior of the quadriceps muscle throughout isometric and concentric exercises, relating it to muscle force calculated by means of simulations, using biomechanical models. It is also handled in our study a means of assessing muscle overloading throughout dynamic exercises using eletromiographic signals. Accordingly, the dynamic exercise is undergone at slow speed and low resistance; and the electromyographic signal is normalized angle by angle. The approach did not allow the external force, produced by the limb, be assessed by means of electromyographic treatment, however, it allowed a relation between electromyography with internal force produced by the limb. It is worth mentioning that the electromyography-force relationship undergoes variations according to angular position, to degree of force, to muscle contraction velocity, to angular velocity. As to isotonic activity analysis, one important conclusion is the relation between electromyography and force is non-linear, with the proviso, that when normalized by peak values electromyography and force may be considered proportional.
Anjos, Fabio Vieira Dos. "High-density surface EMG to investigate muscle activity during standing: implications for the training of postural control with EMG biofeedback in the elderly". Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2690493.
Koenig, Alexander C. "Simulation of agonist and antagonist muscle activation patterns in bidirectional postural perturbation in cats". Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11576.
Pettersson, Victor. "Repetitive climbing effect on muscle activation". Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42144.
Lockhart, Daniel Bruce. "Prediction of Muscle Activation Patterns During Postural Control Using a Feedback Control Model". Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7280.
Peña, Guido Gómez. "Controle de impedância adaptativo dirigido por EMG para reabilitacão robótica". Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18149/tde-19032019-144320/.
This thesis deals with EMG-driven patient torque and stiffness estimation and its use to adapt the robot stiffness during robot-aided rehabilitation. Electromyographic (EMG) signals, taken from selected muscles acting during flexion and extension movements of an user wearing an active knee orthosis, are processed to get the muscles activations. First, a simplified and optimized musculoskeletal model is used to compute the estimate of patient joint torque and stiffness. The model optimization is performed by comparing the estimate torque with the torque generated by the inverse dynamics tool of the OpenSim software, considering a scaled musculoskeletal model. As a complementary solution, a multilayer perceptron neural network (NN) is proposed to map the EMG signals to the patient torque. It is also presented an EMG-driven Torque Estimation Environment created to analyze the data obtained from the application of the proposed approaches considering a protocol created for user-exoskeleton interaction analysis. A database with data from 5 healthy subjects is also made available in this work. Additionally, an adaptive impedance control strategy is proposed to adjust the robot stiffness based on the EMG-driven patient stiffness estimation. The strategy includes an optimal solution for the patient-robot interaction. Finally, the results obtained by applying the proposed adaptive impedance control during flexion and extension movements of the user wearing the active orthosis are presented.
Wang, Shuqiang. "A framework for medical decision support systems : a case study of EMG signal interpretation". Thesis, University of Leicester, 1995. http://hdl.handle.net/2381/34721.