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Published in:
2016 | OriginalPaper | Chapter
A Study on sEMG Pattern Classification Method of Muscles of Respiration
Authors : Ryosuke Kokubo, Shogo Okazaki, Misaki Shoitizono, Hiroki Tamura, Koichi Tanno
Published in: Genetic and Evolutionary Computing
Publisher: Springer International Publishing
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The aim of this paper studies the possibility of new method to diagnose the sleep apnea syndrome. In this paper, we propose analysis method for the pattern classification of breathing from surface electromyogram. First, we measure surface electromyogram that obtained from the surface electrodes attached to crest of neck and mandible muscles. Next, we obtain the peak signal of active from Wavelet transformation of surface electromyogram. We calculate the pattern classification by using the k-nearest neighbor method. From the experimental results, our analysis method was possible to obtain high pattern classification rate when k is 6.