@article{oai:nagoya.repo.nii.ac.jp:02005301,
 author = {秋谷, 一平 and AKIYA, Ippei and 池上, 康男 and IKEGAMI, Yasuo and 矢部, 京之助 and YABE, Kyonosuke},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {Mar},
 note = {This article describes the application of wavelet transform (WT), a new method of time-frequency analysis, to the bio-signal analysis and comparison with a traditional spectrum analysis by Fourier transform (FT). The model of stationary and non-stationary signal data were transformed to the scalogram and the spectrum by WT and FT respectively. As a result, the spectrum analysis was not sufficiently useful in the non-stationary signal data, because of the loss of time domain information. These two types of transformation methods were applied to EMG signal. The scalogram (by WT) expressed sufficiently the feature of EMG signal that the energy distributions were altered in each scale (frequency bands) wilh time. These results suggested that in the processing of bio-signal data such as EMG which is a non-stationary signal, it is in need of the time-frequency analysis rather than spectrum analysis. WT is effective in analysis of the bio-signal on time-frequency domain.},
 pages = {11--15},
 title = {ウェーブレット変換の生体信号解析への応用},
 volume = {21},
 year = {1998}
}