Abstract
In voluntary movements, functional role of synchronized neuronal activity in the human motor system is important to detect and diagnose of the some diseases. In some previous studies, EEG signals and responses belong to an exercise are examined and an increased EEG activity reported in alpha frequency band. The reason of this is not clear whether a change is a direct result of the exhaustion or whether it is an adaptation. Time frequency based coherence analysis may be excellent tools to asses the fatigue stages. The experiment was planned with three fatigue stage and the cortical–muscular synchronizations were observed and examined. Simultaneously cortical electroencephalography (EEG) activities and electromyography (EMG) activities that are activated by phasic voluntary movements are recorded for 10 healthy young person and relation of the coherence between the signals are observed in time frequency domain. There is a decreasing significant coherence activity in third fatigue stage against to first and second fatigue stages. Time frequency based coherence analysis is a good method to explore motor cortex control of muscle activity in the fatigued persons. Time frequency based coherence analysis gives useful result for recordings of simultaneously cortical activity EEG and EMG during a phasic voluntary movement to determination of fatigue levels.
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References
Bortel, R., and Sovka, P., EEG–EMG coherence enhancement. Signal Processing. 86:1737–1751, 2006. doi:10.1016/j.sigpro.2005.09.011.
Brown, P., Cortical drives to human muscle: the Piper and related rhythms. Progress in Neurobiology. 60:97–108, 2000. doi:10.1016/S0301-0082(99)00029-5.
Christodoulou, C. I., and Pattichis, C. S., Unsupervised pattern recognition for the classification of EMG signals. IEEE Transactions on Biomedical Engineering. 46:169–178, 1999. doi:10.1109/10.740879.
Androulidakis, A. G., Doyle, L. M. F., Gilbertson, T. P., and Brown, P., Corrective movements in response to displacements in visual feedback are more effective during periods of 13–35 Hz oscillatory synchrony in the human corticospinal system. European Journal of Neuroscience. 24:3299–3304, 2006. doi:10.1111/j.1460-9568.2006.05201.x.
Kiymik, M. K., Dizibuyuk, A., and Batar, H., Time frequency based coherence analysis between EEG and EMG activities in fatigue duration. Nonlinear Signal and Image Processing (NSIP), Romanya, pp. 55–61, 2007.
Cochran, D., Gish, H., and Sinno, D., A geometric approach to multiple-channel signal detection. IEEE Transactions on Signal Processing. 43:2049–2057, 1995. doi:10.1109/78.414766.
Debbal, S. M., and Bereksi-Reguiga, F., Time-frequency analysis of the first and the second heartbeat sounds. Applied Mathematics and Computation. 184:1041–1052, 2007. doi:10.1016/j.amc.2006.07.005.
Dirnberger, G., Duregger, C., Trettler, E., Lindinger, G., and Lang, W., Fatigue in a simple repetitive motor task: a combined electrophysiological and neuropsychological study. Brain Research. 1028:26–30, 2004. doi:10.1016/j.brainres.2004.08.045.
Feige, B., Aertsen, A., and Kristeva-Feige, R., Dynamic synchronization between multiple cortical motor areas and muscle activity in phasic voluntary movements. Journal of Neurophysiology. 84:2622–2629, 2000.
Gish, H., and Cochran, D., Generalized coherence In: International Conference on Acoustics. Speech and Signal Processing. 5:2745–2748, 1988.
Grosse, P., Cassidy, M. J., and Brown, P., EEG–EMG, MEG–EMG and EMG–EMG frequency analysis: physiological principles and clinical applications. Clinical Neurophysiology. 113:1523–1531, 2002. doi:10.1016/S1388-2457(02)00223-7.
Grosse, P., Guerrini, R., Parmeggiani, L., Bonanni, P., Pogosyan, A., and Brown, P., Abnormal corticomuscular and intermuscular coupling in high-frequency rhythmic myoclonus. Brain. 126:326–342, 2003. doi:10.1093/brain/awg043.
Halliday, D. M., and Conway, B. A., Using electroencephalography to study functional coupling between cortical activity and electromyograms during voluntary contractions in humans. Neuroscience Letters. 241:5–8, 1998. doi:10.1016/S0304-3940(97)00964-6.
Lin, Z., and Chen, J., Advances in time-frequency analysis of biomedical signals. Critical Reviews in Biomedical Engineering. 24:1–71, 1996.
Rumyana, K., Feige, F. C., Timmer, J., and Lücking, C. H., Effect of attention and precision of exerted force on beta range EEG–EMG synchronization during a maintained motor contraction task. Clinical Neurophysiology. 113:124–131, 2002. doi:10.1016/S1388-2457(01)00722-2.
Salenius, S., and Harii, R., Synchronous cortical oscillatory activity during motor action. Current Opinion in Neurobiology. 13:678–684, 2003. doi:10.1016/j.conb.2003.10.008.
Semmler, J. G., Sale, M. V., Meyer, F. G., and Nordstrom, M. A., Motor-unit coherence and its relation with synchrony are influenced by training. Journal of Neurophysiology. 92:3320–3331, 2004. doi:10.1152/jn.00316.2004.
Shibata, T., Suharaa, Y., Ogad, T., Uekie, Y., Mimae, T., and Ishii, S., Application of multivariate autoregressive modeling for analyzing the interaction between EEG and EMG in humans. International Congress Series. 1270:249–253, 2004. doi:10.1016/j.ics.2004.05.048.
Schillings, M. L., Kalkman, J. S., van der Werf, S. P., Bleijenberg, G., van Engelen, B. G. M., and Zwarts, M. J., Central adaptations during repetitive contractions assessed by the readiness potential. European Journal of Applied Physiology. 97:521–526, 2006. doi:10.1007/s00421-006-0211-z.
Yao, B., Salenius, S., Yue, G. H., Brownc, R. W., and Liu, J. Z., Effects of surface EMG rectification on power and coherence analyses: an EEG and MEG study. Journal of Neuroscience Methods. 159:215–223, 2007. doi:10.1016/j.jneumeth.2006.07.008.
Zwarts, M. J., Bleijenberg, G., and van Engelen, B. G. M., Clinical neurophysiology of fatigue. Clinical Neurophysiology. 119:2–10, 2008. doi:10.1016/j.clinph.2007.09.126.
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This study was supported by grant from The Scientific and Technological Research Council of Turkey with project number 105E039.
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Tuncel, D., Dizibuyuk, A. & Kiymik, M.K. Time Frequency Based Coherence Analysis Between EEG and EMG Activities in Fatigue Duration. J Med Syst 34, 131–138 (2010). https://doi.org/10.1007/s10916-008-9224-y
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DOI: https://doi.org/10.1007/s10916-008-9224-y