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Surface EMG analysis on normal subjects based on isometric voluntary contraction
Authors:PA Kaplanis  CS Pattichis  LJ Hadjileontiadis  VC Roberts
Institution:1. Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus;2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus;3. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece;4. Kings College, School of Medicine and Dentistry, University of London, London, UK;1. Advanced Vehicle System, Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia;2. Department of Bio-Science and Engineering, College of Systems Engineering and Science, Shibaura Institute of Technology, Fukasaku 307, Saitama-City 337-8570, Japan;3. Malaysian Research Institute on Ageing, Universiti Putra Malaysia, 43400 Serdang, Malaysia;1. Department of Electronic Engineering, University of Tor Vergata, Rome, Italy;2. Captiks s.r.l., Rome, Italy;3. INAIL Centro Protesi, Vigorso di Budrio (Bologna), Italy;4. Department of Experimental Medicine and Surgery, University of Tor Vergata, Rome, Italy;1. Laboratoire d’Analyse du Mouvement Humain, University of Liège, Liège, Belgium;2. Department of Physical Medicine and Rehabilitation, University of Liège, Liège, Belgium;3. Department of Physical Medicine and Sports Traumatology, University Hospital of Liège, Liège, Belgium;4. Department of Aerospace and Mechanical Engineering, University of Liège, Liège, Belgium;5. Department of Architecture, Geology, Environment and Constructions, University of Liège, Liège, Belgium;1. UNSJ-CONICET, Instituto de Automática, Av. San Martin oeste 1109, J5400ARL San Juan, Argentina;2. Gabinete de Tecnología Médica (GATEME), Facultad de Ingeniería-Universidad Nacional de San Juan (UNSJ), San Juan, Argentina;1. Department of Stomatology, Santiago de Compostela University, Faculty of Medicine and Dentistry, Spain;2. Department of Statistics, Santiago de Compostela University, Faculty of Medicine and Dentistry, Spain;3. Oral and Maxillofacial Surgery Service, University Hospital of La Coruña, Spain
Abstract:The objective of this study was to compute reference SEMG values for normal subjects of 13 parameters extracted in the time, frequency and bispectrum domain, from the Biceps Brachii (BB) muscle generated under isometric voluntary contraction (IVC). SEMG signals were recorded from 94 subjects for 5 s at 10, 30, 50, 70 and 100% of maximum voluntary contraction (MVC). The Wilcoxon signed rank test was applied to detect significant differences or not at p < 0.05 between force levels for each of the 13 parameters. The main findings of this study can be summarized as follows: (i) The time domain parameters turns per second and number of zero crossings per second increase significantly with force level. (ii) The power spectrum median frequency parameter decreases significantly with force level, whereas maximum power and total power increase significantly with force level. (iii) The bispectrum parameter, maximum amplitude, increases significantly with force level with the exception the transition from 30% to 50% MVC. Although, the tests for Gaussianity and linearity show no significant difference with force level, the SEMG signal exhibits a more Gaussian distribution with increase of force up to 70% MVC. The SEMG linearity test, which is a measure of how constant the bicoherence index is in the bi-frequency domain, shows that the signal’s bicoherence index is less constant (hence, the signal is less linear) at 70% of MVC compared to 10, 30, 50 and 100% MVC. (iv) The time domain parameters have good correlation between them as well as, between each one of them and maximum and total power. The median frequency has a good (negative) correlation with the bispectrum peak amplitude. (v) No significant differences exist between values based on gender or age. The findings of this study can further be used for the assessment of subjects suffering with neuromuscular disorders, or in the rehabilitation laboratory for monitoring the elderly or the disabled, or in the occupational medicine laboratory.
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