Simulation of surface EMG for the analysis of muscle activity during whole body vibratory stimulation (543 views)
Comput Meth Prog Bio (ISSN: 0169-2607), 2014 Jan; 113(1): 314-322.
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Paper type: Journal Article,
Impact factor: 1.897, 5-year impact factor: 1.964
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84887819313&partnerID=40&md5=ee4b89f2bef13821cd678f42c25665ae
Keywords: Emg, Motion Artifact, Motor Unit Synchronization, Whole Body Vibration, Particular Condition, Stimulation Frequencies, Vibration Frequency, Vibration Induced Motions, Muscle Activities, Surface Emg, Signal Reconstruction, Electrode, Electromyogram, Motor Unit Potential, Muscle Contraction, Nerve Ending, Oscillation, Rectus Femoris Muscle, Simulation, Computer Simulation, Electromyograph Electrode, Evoked Muscle Response, Frequency Analysis, Muscle Innervation, Periodicity, Action Potentials, Humans, Signal Processing, Computer-Assisted,
Affiliations:
*** IBB - CNR ***
Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Via Claudio, 21, 80125 Naples, Italy
Institute of Biomedical Engineering - CNR, Via Salaria Km 29, 300, 00016 Monterotondo S., Italy
References:
Solomonow, M., Baratta, R., Zhou, B.H., Shoji, H., D'Ambrosia, R.D., The EMG-force model of electrically stimulated muscles: dependence on control strategy and predominant fiber composition (1987) IEEE Transaction on Biomedical Engineering, 34, pp. 692-70
Sennels, S., Biering-Sorensen, F., Andersen, O.T., Hansen, S.D., Functional neuromuscular stimulation controlled by surface electromyographic signals produced by volitional activation of the same muscle: adaptive removal of the muscle response from the recorded EMG-signal (1997) IEEE Transaction on Rehabilitation Engineering, 5, pp. 195-206
Priori, A., Bertolasi, L., Dressler, D., Rothwell, J.C., Day, B.L., Thompson, P.D., Marsden, C.D., Transcranial electric and magnetic stimulation of the leg area of the human motor cortex: single motor unit and surface EMG responses in the tibialis anterior muscle (1993) Electroencephalography and Clinical Neurophysiology, 89, pp. 131-137
Basmajian, J., De Luca, C., (1985) Muscles Alive Williams and Wilkins, pp. 1-561. , Williams & Wilkins, Baltimore, USA
Cesarelli, M., Bifulco, M.P., Bracale, M., Quadriceps muscles activation in anterior knee pain during isokinetic exercise (1999) Medical Engineering and Physics, 21, pp. 469-478
Khushaba, R.N., Kodagoda, S., Liu, D.K., Dissanayake, G., Muscle computer interfaces for driver distraction reduction (2013) Computer Methods and Programs in Biomedicine, 110, pp. 137-149
Galiana-Merino, J.J., Ruiz-Fernandez, D., Martinez-Espla, J.J., Power line interference filtering on surface electromyography based on the stationary wavelet packet transform (2013) Computer Methods and Programs in Biomedicine, 111, pp. 338-346
Yang, S.W., Lin, C.S., Lin, S.K., Lee, C.H., Design of virtual keyboard using blink control method for the severely disabled (2013) Computer Methods and Programs in Biomedicine, 111, pp. 410-418
Sharma, N., Gedeon, T., Objective measures, sensors and computational techniques for stress recognition and classification: a survey (2012) Computer Methods and Programs in Biomedicine, 108, pp. 1287-1301
Fratini, A., Cesarelli, M., Bifulco, P., Romano, M., Relevance of motion artifact in electromyography recordings during vibration treatment (2009) Journal of Electromyography and Kinesiology, 19, pp. 710-718
Abercromby, A.F., Amonette, W.E., Layne, C.S., McFarlin, B.K., Hinman, M.R., Paloski, W.H., Vibration exposure and biodynamic responses during whole-body vibration training (2007) Medicine & Science in Sports & Exercise, 39, pp. 1794-1800
Di Iorio, F., Cesarelli, M., Bifulco, P., Fratini, A., Roveda, E., Ruffo, M., The effects of whole body vibration on oxygen uptake and electromyographic signal of the rectus femoris muscle during static and dynamic squat (2012) Journal of Excercise Physiology Online, 15, pp. 18-31
Bifulco, P., Cesarelli, M., Romano, M., Fratini, A., Comments on the article rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration (2013) Journal of Electromyography and Kinesiology, 23, pp. 1250-1251
Burke, D., Schiller, H.H., Discharge pattern of single motor units in the tonic vibration reflex of human triceps surae (1976) Journal of Neurology, Neurosurgery, and Psychiatry, 39, pp. 729-741
De Gail, P., Lance, J.W., Neilson, P.D., Differential effects on tonic and phasic reflex mechanisms produced by vibration of muscles in man (1966) Journal of Neurology, Neurosurgery, and Psychiatry, 29, pp. 1-11
Hagbarth, K.E., Eklund, G., Tonic vibration reflexes (TVR) in spasticity (1966) Brain Research, 2, pp. 201-203
Bongiovanni, L.G., Hagbarth, K.E., Stjernberg, L., Prolonged muscle vibration reducing motor output in maximal voluntary contractions in man (1990) Journal of Physiology, 423, pp. 15-26
Person, R., Kozhina, G., Tonic vibration reflex of human limb muscles: discharge pattern of motor units (1992) Journal of Electromyography and Kinesiology, 2, pp. 1-9
Mester, P., Spitzenfeil, J., Schwarzer, F., Seifriz biological reaction to vibration: implications for sport (1999) Journal of Science and Medicine in Sport, 2, pp. 211-226
Nazarov, V., Spivak, G., Development of athlete's strength abilities by means of biomechanical stimulation method (1987) Theory and Practice of Physical Culture, 12, pp. 37-39
Bosco, C., Colli, R., Introini, E., Cardinale, M., Tsarpela, O., Madella, A., Tihanyi, J., Viru, A., Adaptive responses of human skeletal muscle to vibration exposure (1999) Clinical Physiology, 19, pp. 183-187
Cesarelli, M., Fratini, A., Bifulco, P., La Gatta, A., Romano, M., Pasquariello, G., Analysis and modelling of muscles motion during whole body vibration (2010) EURASIP Journal on Advances in Signal Processing, pp. 1-9
Cardinale, M., Lim, J., Electromyography activity of vastus lateralis muscle during whole-body vibrations of different frequencies (2003) Journal of Strength and Conditioning Research, 17, pp. 621-624
Fratini, A., La Gatta, A., Bifulco, P., Romano, M., Cesarelli, M., Muscle motion and EMG activity in vibration treatment (2009) Medical Engineering and Physics, 31, pp. 1166-1172
Mester, J., Kleinoder, H., Yue, Z., Vibration training: benefits and risks (2006) Journal of Biomechanics, 39, pp. 1056-1065
Cardinale, M., Wakeling, J., Whole body vibration exercise: are vibrations good for you? (2005) British Journal of Sports Medicine, 39, pp. 585-589
Cesarelli, M., Di Iorio, F., Bifulco, P., Fratini, A., Ruffo, M., Clemente, F., Neuromuscular response to whole body vibration treatment during static and dynamic squat exercises (2012) IEEE Symposium on Medical Measurements and Applications, MeMeA 2012 Proceedings, pp. 167-170
de Talhouet, H., Webster, J.G., The origin of skin-stretch-caused motion artifacts under electrodes (1996) Physiological Measurement, 17, pp. 81-93
Gargiulo, G., Bifulco, P., Cesarelli, M., Ruffo, M., Romano, M., Calvo, R.A., Jin, C., van Schaik, A., An ultra-high input impedance ECG amplifier for long-term monitoring of athletes (2010) Medical Devices, 3, pp. 1-9
Gargiulo, G.D., McEwan, A.L., Bifulco, P., Cesarelli, M., Jin, C., Tapson, J., Thiagalingam, A., van Schaik, A., Towards true unipolar bio-potential recording: a preliminary result for ECG (2013) Physiological Measurement, 34, pp. 1-7
Hermens, H.J., Freriks, B., Merletti, R., Stegeman, D., Blok, J., Rau, G., Disselhorst-Klug, C., Hägg, C., (1999) European Recommendations for Surface Electromyography, Chap. 5, , Roessingh Research and Development, The Netherlands
Person, R., Kudina, L., Discharge frequency and discharge pattern of human motor units during voluntary contraction of muscle (1972) Electroencephalography and Clinical Neurophysiology, 32, pp. 471-483
Martin, B.J., Park, H.S., Analysis of the tonic vibration reflex: influence of vibration variables on motor unit synchronization and fatigue (1997) European Journal of Applied Physiology and Occupational Physiology, 75, pp. 504-511
Lebedev, M.A., Polyakov, A.V., Analysis of surface EMG of human soleus muscle subjected to vibration (1992) Journal of Electromyography and Kinesiology, 2, pp. 26-35
Dimitrov, G.V., Dimitrova, N.A., Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode (1998) Medical Engineering and Physics, 20, pp. 374-381
Saitou, K., Masuda, T., Michikami, D., Kojima, R., Okada, M., Innervation zones of the upper and lower limb muscles estimated by using multichannel surface EMG (2000) Journal of Human Ergology, 29, pp. 35-52
Rainoldi, A., Melchiorri, G., Caruso, I., A method for positioning electrodes during surface EMG recordings in lower limb muscles (2004) Journal of Neuroscience Methods, 134, pp. 37-43
Beck, T.W., Housh, T.J., Mielke, M., Cramer, J.T., Weir, J.P., Malek, M.H., Johnson, G.O., The influence of electrode placement over the innervation zone on electromyographic amplitude and mean power frequency versus isokinetic torque relationships (2007) Journal of Neuroscience Methods, 162, pp. 72-83
Nishihara, K., Kawai, H., Gomi, T., Terajima, M., Chiba, Y., Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique (2008) IEEE Transactions on Biomedical Engineering, 55, pp. 636-642
Sbriccoli, P., Sacchetti, M., Felici, F., Gizzi, L., Lenti, M., Scotto, A., De Vito, G., Non-invasive assessment of muscle fiber conduction velocity during an incremental maximal cycling test (2009) Journal of Electromyography and Kinesiology, 19, pp. 380-386
Beck, T.W., DeFreitas, J.M., Stock, M.S., Accuracy of three different techniques for automatically estimating innervation zone location (2012) Computer Methods and Programs in Biomedicine, 105, pp. 13-21
Khushaba, R. N., Kodagoda, S., Liu, D. K., Dissanayake, G., Muscle computer interfaces for driver distraction reduction (2013) Computer Methods and Programs in Biomedicine, 110, pp. 137-149
Galiana-Merino, J. J., Ruiz-Fernandez, D., Martinez-Espla, J. J., Power line interference filtering on surface electromyography based on the stationary wavelet packet transform (2013) Computer Methods and Programs in Biomedicine, 111, pp. 338-346
Yang, S. W., Lin, C. S., Lin, S. K., Lee, C. H., Design of virtual keyboard using blink control method for the severely disabled (2013) Computer Methods and Programs in Biomedicine, 111, pp. 410-418
Abercromby, A. F., Amonette, W. E., Layne, C. S., McFarlin, B. K., Hinman, M. R., Paloski, W. H., Vibration exposure and biodynamic responses during whole-body vibration training (2007) Medicine & Science in Sports & Exercise, 39, pp. 1794-1800
Hagbarth, K. E., Eklund, G., Tonic vibration reflexes (TVR) in spasticity (1966) Brain Research, 2, pp. 201-203
Bongiovanni, L. G., Hagbarth, K. E., Stjernberg, L., Prolonged muscle vibration reducing motor output in maximal voluntary contractions in man (1990) Journal of Physiology, 423, pp. 15-26
Gargiulo, G. D., McEwan, A. L., Bifulco, P., Cesarelli, M., Jin, C., Tapson, J., Thiagalingam, A., van Schaik, A., Towards true unipolar bio-potential recording: a preliminary result for ECG (2013) Physiological Measurement, 34, pp. 1-7
Hermens, H. J., Freriks, B., Merletti, R., Stegeman, D., Blok, J., Rau, G., Disselhorst-Klug, C., H gg, C., (1999) European Recommendations for Surface Electromyography, Chap. 5, , Roessingh Research and Development, The Netherlands
Martin, B. J., Park, H. S., Analysis of the tonic vibration reflex: influence of vibration variables on motor unit synchronization and fatigue (1997) European Journal of Applied Physiology and Occupational Physiology, 75, pp. 504-511
Lebedev, M. A., Polyakov, A. V., Analysis of surface EMG of human soleus muscle subjected to vibration (1992) Journal of Electromyography and Kinesiology, 2, pp. 26-35
Dimitrov, G. V., Dimitrova, N. A., Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode (1998) Medical Engineering and Physics, 20, pp. 374-381
Beck, T. W., Housh, T. J., Mielke, M., Cramer, J. T., Weir, J. P., Malek, M. H., Johnson, G. O., The influence of electrode placement over the innervation zone on electromyographic amplitude and mean power frequency versus isokinetic torque relationships (2007) Journal of Neuroscience Methods, 162, pp. 72-83
Beck, T. W., DeFreitas, J. M., Stock, M. S., Accuracy of three different techniques for automatically estimating innervation zone location (2012) Computer Methods and Programs in Biomedicine, 105, pp. 13-21
Comput Meth Prog Bio (ISSN: 0169-2607), 2014 Jan; 113(1): 314-322.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 1.897, 5-year impact factor: 1.964
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-84887819313&partnerID=40&md5=ee4b89f2bef13821cd678f42c25665ae
Keywords: Emg, Motion Artifact, Motor Unit Synchronization, Whole Body Vibration, Particular Condition, Stimulation Frequencies, Vibration Frequency, Vibration Induced Motions, Muscle Activities, Surface Emg, Signal Reconstruction, Electrode, Electromyogram, Motor Unit Potential, Muscle Contraction, Nerve Ending, Oscillation, Rectus Femoris Muscle, Simulation, Computer Simulation, Electromyograph Electrode, Evoked Muscle Response, Frequency Analysis, Muscle Innervation, Periodicity, Action Potentials, Humans, Signal Processing, Computer-Assisted,
Affiliations:
*** IBB - CNR ***
Department of Electrical Engineering and Information Technologies, University Federico II of Naples, Via Claudio, 21, 80125 Naples, Italy
Institute of Biomedical Engineering - CNR, Via Salaria Km 29, 300, 00016 Monterotondo S., Italy
References:
Solomonow, M., Baratta, R., Zhou, B.H., Shoji, H., D'Ambrosia, R.D., The EMG-force model of electrically stimulated muscles: dependence on control strategy and predominant fiber composition (1987) IEEE Transaction on Biomedical Engineering, 34, pp. 692-70
Sennels, S., Biering-Sorensen, F., Andersen, O.T., Hansen, S.D., Functional neuromuscular stimulation controlled by surface electromyographic signals produced by volitional activation of the same muscle: adaptive removal of the muscle response from the recorded EMG-signal (1997) IEEE Transaction on Rehabilitation Engineering, 5, pp. 195-206
Priori, A., Bertolasi, L., Dressler, D., Rothwell, J.C., Day, B.L., Thompson, P.D., Marsden, C.D., Transcranial electric and magnetic stimulation of the leg area of the human motor cortex: single motor unit and surface EMG responses in the tibialis anterior muscle (1993) Electroencephalography and Clinical Neurophysiology, 89, pp. 131-137
Basmajian, J., De Luca, C., (1985) Muscles Alive Williams and Wilkins, pp. 1-561. , Williams & Wilkins, Baltimore, USA
Cesarelli, M., Bifulco, M.P., Bracale, M., Quadriceps muscles activation in anterior knee pain during isokinetic exercise (1999) Medical Engineering and Physics, 21, pp. 469-478
Khushaba, R.N., Kodagoda, S., Liu, D.K., Dissanayake, G., Muscle computer interfaces for driver distraction reduction (2013) Computer Methods and Programs in Biomedicine, 110, pp. 137-149
Galiana-Merino, J.J., Ruiz-Fernandez, D., Martinez-Espla, J.J., Power line interference filtering on surface electromyography based on the stationary wavelet packet transform (2013) Computer Methods and Programs in Biomedicine, 111, pp. 338-346
Yang, S.W., Lin, C.S., Lin, S.K., Lee, C.H., Design of virtual keyboard using blink control method for the severely disabled (2013) Computer Methods and Programs in Biomedicine, 111, pp. 410-418
Sharma, N., Gedeon, T., Objective measures, sensors and computational techniques for stress recognition and classification: a survey (2012) Computer Methods and Programs in Biomedicine, 108, pp. 1287-1301
Fratini, A., Cesarelli, M., Bifulco, P., Romano, M., Relevance of motion artifact in electromyography recordings during vibration treatment (2009) Journal of Electromyography and Kinesiology, 19, pp. 710-718
Abercromby, A.F., Amonette, W.E., Layne, C.S., McFarlin, B.K., Hinman, M.R., Paloski, W.H., Vibration exposure and biodynamic responses during whole-body vibration training (2007) Medicine & Science in Sports & Exercise, 39, pp. 1794-1800
Di Iorio, F., Cesarelli, M., Bifulco, P., Fratini, A., Roveda, E., Ruffo, M., The effects of whole body vibration on oxygen uptake and electromyographic signal of the rectus femoris muscle during static and dynamic squat (2012) Journal of Excercise Physiology Online, 15, pp. 18-31
Bifulco, P., Cesarelli, M., Romano, M., Fratini, A., Comments on the article rectification of SEMG as a tool to demonstrate synchronous motor unit activity during vibration (2013) Journal of Electromyography and Kinesiology, 23, pp. 1250-1251
Burke, D., Schiller, H.H., Discharge pattern of single motor units in the tonic vibration reflex of human triceps surae (1976) Journal of Neurology, Neurosurgery, and Psychiatry, 39, pp. 729-741
De Gail, P., Lance, J.W., Neilson, P.D., Differential effects on tonic and phasic reflex mechanisms produced by vibration of muscles in man (1966) Journal of Neurology, Neurosurgery, and Psychiatry, 29, pp. 1-11
Hagbarth, K.E., Eklund, G., Tonic vibration reflexes (TVR) in spasticity (1966) Brain Research, 2, pp. 201-203
Bongiovanni, L.G., Hagbarth, K.E., Stjernberg, L., Prolonged muscle vibration reducing motor output in maximal voluntary contractions in man (1990) Journal of Physiology, 423, pp. 15-26
Person, R., Kozhina, G., Tonic vibration reflex of human limb muscles: discharge pattern of motor units (1992) Journal of Electromyography and Kinesiology, 2, pp. 1-9
Mester, P., Spitzenfeil, J., Schwarzer, F., Seifriz biological reaction to vibration: implications for sport (1999) Journal of Science and Medicine in Sport, 2, pp. 211-226
Nazarov, V., Spivak, G., Development of athlete's strength abilities by means of biomechanical stimulation method (1987) Theory and Practice of Physical Culture, 12, pp. 37-39
Bosco, C., Colli, R., Introini, E., Cardinale, M., Tsarpela, O., Madella, A., Tihanyi, J., Viru, A., Adaptive responses of human skeletal muscle to vibration exposure (1999) Clinical Physiology, 19, pp. 183-187
Cesarelli, M., Fratini, A., Bifulco, P., La Gatta, A., Romano, M., Pasquariello, G., Analysis and modelling of muscles motion during whole body vibration (2010) EURASIP Journal on Advances in Signal Processing, pp. 1-9
Cardinale, M., Lim, J., Electromyography activity of vastus lateralis muscle during whole-body vibrations of different frequencies (2003) Journal of Strength and Conditioning Research, 17, pp. 621-624
Fratini, A., La Gatta, A., Bifulco, P., Romano, M., Cesarelli, M., Muscle motion and EMG activity in vibration treatment (2009) Medical Engineering and Physics, 31, pp. 1166-1172
Mester, J., Kleinoder, H., Yue, Z., Vibration training: benefits and risks (2006) Journal of Biomechanics, 39, pp. 1056-1065
Cardinale, M., Wakeling, J., Whole body vibration exercise: are vibrations good for you? (2005) British Journal of Sports Medicine, 39, pp. 585-589
Cesarelli, M., Di Iorio, F., Bifulco, P., Fratini, A., Ruffo, M., Clemente, F., Neuromuscular response to whole body vibration treatment during static and dynamic squat exercises (2012) IEEE Symposium on Medical Measurements and Applications, MeMeA 2012 Proceedings, pp. 167-170
de Talhouet, H., Webster, J.G., The origin of skin-stretch-caused motion artifacts under electrodes (1996) Physiological Measurement, 17, pp. 81-93
Gargiulo, G., Bifulco, P., Cesarelli, M., Ruffo, M., Romano, M., Calvo, R.A., Jin, C., van Schaik, A., An ultra-high input impedance ECG amplifier for long-term monitoring of athletes (2010) Medical Devices, 3, pp. 1-9
Gargiulo, G.D., McEwan, A.L., Bifulco, P., Cesarelli, M., Jin, C., Tapson, J., Thiagalingam, A., van Schaik, A., Towards true unipolar bio-potential recording: a preliminary result for ECG (2013) Physiological Measurement, 34, pp. 1-7
Hermens, H.J., Freriks, B., Merletti, R., Stegeman, D., Blok, J., Rau, G., Disselhorst-Klug, C., Hägg, C., (1999) European Recommendations for Surface Electromyography, Chap. 5, , Roessingh Research and Development, The Netherlands
Person, R., Kudina, L., Discharge frequency and discharge pattern of human motor units during voluntary contraction of muscle (1972) Electroencephalography and Clinical Neurophysiology, 32, pp. 471-483
Martin, B.J., Park, H.S., Analysis of the tonic vibration reflex: influence of vibration variables on motor unit synchronization and fatigue (1997) European Journal of Applied Physiology and Occupational Physiology, 75, pp. 504-511
Lebedev, M.A., Polyakov, A.V., Analysis of surface EMG of human soleus muscle subjected to vibration (1992) Journal of Electromyography and Kinesiology, 2, pp. 26-35
Dimitrov, G.V., Dimitrova, N.A., Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode (1998) Medical Engineering and Physics, 20, pp. 374-381
Saitou, K., Masuda, T., Michikami, D., Kojima, R., Okada, M., Innervation zones of the upper and lower limb muscles estimated by using multichannel surface EMG (2000) Journal of Human Ergology, 29, pp. 35-52
Rainoldi, A., Melchiorri, G., Caruso, I., A method for positioning electrodes during surface EMG recordings in lower limb muscles (2004) Journal of Neuroscience Methods, 134, pp. 37-43
Beck, T.W., Housh, T.J., Mielke, M., Cramer, J.T., Weir, J.P., Malek, M.H., Johnson, G.O., The influence of electrode placement over the innervation zone on electromyographic amplitude and mean power frequency versus isokinetic torque relationships (2007) Journal of Neuroscience Methods, 162, pp. 72-83
Nishihara, K., Kawai, H., Gomi, T., Terajima, M., Chiba, Y., Investigation of optimum electrode locations by using an automatized surface electromyography analysis technique (2008) IEEE Transactions on Biomedical Engineering, 55, pp. 636-642
Sbriccoli, P., Sacchetti, M., Felici, F., Gizzi, L., Lenti, M., Scotto, A., De Vito, G., Non-invasive assessment of muscle fiber conduction velocity during an incremental maximal cycling test (2009) Journal of Electromyography and Kinesiology, 19, pp. 380-386
Beck, T.W., DeFreitas, J.M., Stock, M.S., Accuracy of three different techniques for automatically estimating innervation zone location (2012) Computer Methods and Programs in Biomedicine, 105, pp. 13-21
Khushaba, R. N., Kodagoda, S., Liu, D. K., Dissanayake, G., Muscle computer interfaces for driver distraction reduction (2013) Computer Methods and Programs in Biomedicine, 110, pp. 137-149
Galiana-Merino, J. J., Ruiz-Fernandez, D., Martinez-Espla, J. J., Power line interference filtering on surface electromyography based on the stationary wavelet packet transform (2013) Computer Methods and Programs in Biomedicine, 111, pp. 338-346
Yang, S. W., Lin, C. S., Lin, S. K., Lee, C. H., Design of virtual keyboard using blink control method for the severely disabled (2013) Computer Methods and Programs in Biomedicine, 111, pp. 410-418
Abercromby, A. F., Amonette, W. E., Layne, C. S., McFarlin, B. K., Hinman, M. R., Paloski, W. H., Vibration exposure and biodynamic responses during whole-body vibration training (2007) Medicine & Science in Sports & Exercise, 39, pp. 1794-1800
Hagbarth, K. E., Eklund, G., Tonic vibration reflexes (TVR) in spasticity (1966) Brain Research, 2, pp. 201-203
Bongiovanni, L. G., Hagbarth, K. E., Stjernberg, L., Prolonged muscle vibration reducing motor output in maximal voluntary contractions in man (1990) Journal of Physiology, 423, pp. 15-26
Gargiulo, G. D., McEwan, A. L., Bifulco, P., Cesarelli, M., Jin, C., Tapson, J., Thiagalingam, A., van Schaik, A., Towards true unipolar bio-potential recording: a preliminary result for ECG (2013) Physiological Measurement, 34, pp. 1-7
Hermens, H. J., Freriks, B., Merletti, R., Stegeman, D., Blok, J., Rau, G., Disselhorst-Klug, C., H gg, C., (1999) European Recommendations for Surface Electromyography, Chap. 5, , Roessingh Research and Development, The Netherlands
Martin, B. J., Park, H. S., Analysis of the tonic vibration reflex: influence of vibration variables on motor unit synchronization and fatigue (1997) European Journal of Applied Physiology and Occupational Physiology, 75, pp. 504-511
Lebedev, M. A., Polyakov, A. V., Analysis of surface EMG of human soleus muscle subjected to vibration (1992) Journal of Electromyography and Kinesiology, 2, pp. 26-35
Dimitrov, G. V., Dimitrova, N. A., Precise and fast calculation of the motor unit potentials detected by a point and rectangular plate electrode (1998) Medical Engineering and Physics, 20, pp. 374-381
Beck, T. W., Housh, T. J., Mielke, M., Cramer, J. T., Weir, J. P., Malek, M. H., Johnson, G. O., The influence of electrode placement over the innervation zone on electromyographic amplitude and mean power frequency versus isokinetic torque relationships (2007) Journal of Neuroscience Methods, 162, pp. 72-83
Beck, T. W., DeFreitas, J. M., Stock, M. S., Accuracy of three different techniques for automatically estimating innervation zone location (2012) Computer Methods and Programs in Biomedicine, 105, pp. 13-21
Simulation of surface EMG for the analysis of muscle activity during whole body vibratory stimulation
This study aims to reproduce the effect of motor-unit synchronization on surface EMG recordings during vibratory stimulation to highlight vibration evoked muscle activity. The authors intended to evaluate, through numerical simulations, the changes in surface EMG spectrum in muscles undergoing whole body vibration stimulation. In some specific bands, in fact, vibration induced motion artifacts are also typically present. In addition, authors meant to compare the simulated EMGs with respect to real recordings in order to discriminate the effect of synchronization of motor units discharges with vibration frequencies from motion artifacts. Computations were performed using a model derived from previous studies and modified to consider the effect of vibratory stimulus, the motor unit synchronization and the endplates-electrodes relative position on the EMG signal. Results revealed that, in particular conditions, synchronization of MUs' discharge generates visible peaks at stimulation frequency and its harmonics. However, only a part of the total power of surface EMGs might be enclosed within artifacts related bands (+/- 1 Hz centered at the stimulation frequency and its superior harmonics) even in case of strong synchronization of motor units discharges with the vibratory stimulus. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
This study aims to reproduce the effect of motor-unit synchronization on surface EMG recordings during vibratory stimulation to highlight vibration evoked muscle activity. The authors intended to evaluate, through numerical simulations, the changes in surface EMG spectrum in muscles undergoing whole body vibration stimulation. In some specific bands, in fact, vibration induced motion artifacts are also typically present. In addition, authors meant to compare the simulated EMGs with respect to real recordings in order to discriminate the effect of synchronization of motor units discharges with vibration frequencies from motion artifacts. Computations were performed using a model derived from previous studies and modified to consider the effect of vibratory stimulus, the motor unit synchronization and the endplates-electrodes relative position on the EMG signal. Results revealed that, in particular conditions, synchronization of MUs' discharge generates visible peaks at stimulation frequency and its harmonics. However, only a part of the total power of surface EMGs might be enclosed within artifacts related bands (+/- 1 Hz centered at the stimulation frequency and its superior harmonics) even in case of strong synchronization of motor units discharges with the vibratory stimulus. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
Simulation of surface EMG for the analysis of muscle activity during whole body vibratory stimulation
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Simulation of surface EMG for the analysis of muscle activity during whole body vibratory stimulation
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Cesarelli M, Di Iorio F, Bifulco P, Clemente F, Fratini A, Ruffo M
* Neuromuscular response to whole body vibration treatment during static and dynamic squat exercises (423 views)
2013 Federated Conference On Computer Science And Information Systems Fedcsis 2013 (ISSN: 9781-4673), 2012; N/D: 167-170.
Impact Factor: 0.318
View Export to BibTeX Export to EndNote
* Neuromuscular response to whole body vibration treatment during static and dynamic squat exercises (423 views)
2013 Federated Conference On Computer Science And Information Systems Fedcsis 2013 (ISSN: 9781-4673), 2012; N/D: 167-170.
Impact Factor: 0.318
View Export to BibTeX Export to EndNote
1 Records (1 excluding Abstracts).
Total impact factor: 0.318 (0.318 excluding Abstracts).
Total 5 year impact factor: 0.316 (0.316 excluding Abstracts).
Total impact factor: 0.318 (0.318 excluding Abstracts).
Total 5 year impact factor: 0.316 (0.316 excluding Abstracts).
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