| Presentation | 2020-01-25 Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals Hidetoshi Nagai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Common EMG features such as RMS and MPF represent the average characteristics in the short-term window. Therefore, when we want to capture the temporal change of the features in more detail, it is desirable to obtain the feature values based on the result of wavelet analysis, which has better temporal resolution. However, multiresolution analysis, which is a general discrete wavelet analysis method, has a problem of "lack of shift invariance". To avoid this problem, we perform redundant wavelet analysis. As the result, we can more flexibly select a set of wavelet coefficients by which we calculate feature values of a certain time. In this paper, we propose the method to select wavelet coefficients by shifting the time-frequency area of each frequency zone. And we describe how the wavelet coefficient sets cause difference in feature values. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | surface EMG / redundant wavelet analysis / type of wavelet coefficient set / center-of-balance of wavelet coefficients / wavelet-coefficient-based RMS |
| Paper # | MICT2019-49,MBE2019-78 |
| Date of Issue | 2020-01-18 (MICT, MBE) |
| Conference Information | |
| Committee | MBE / MICT |
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| Conference Date | 2020/1/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KKR Hotel Kumamoto |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Taishin Nomura(Osaka Univ.) / Shinsuke Hara(Osaka City Univ.) |
| Vice Chair | Takashi Watanabe(Tohoku Univ.) / Eisuke Hanada(Saga Univ.) / Chika Sugimoto(Yokohama National Univ.) |
| Secretary | Takashi Watanabe(Kyushu Univ.) / Eisuke Hanada(Nagoya Inst. of Tech.) / Chika Sugimoto(Kobe Univ.) |
| Assistant | Yasuyuki Suzuki(Osaka Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) / Takumi Kobayashi(Yokohama National Univ.) / Keita Saku(Kyushu Univ.) / Kai Ishida(NICT) / Kento Takabayashi(Okayama Pref. Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Healthcare and Medical Information Communication Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals |
| Sub Title (in English) | |
| Keyword(1) | surface EMG |
| Keyword(2) | redundant wavelet analysis |
| Keyword(3) | type of wavelet coefficient set |
| Keyword(4) | center-of-balance of wavelet coefficients |
| Keyword(5) | wavelet-coefficient-based RMS |
| 1st Author's Name | Hidetoshi Nagai |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2020-01-25 |
| Paper # | MICT2019-49,MBE2019-78 |
| Volume (vol) | vol.119 |
| Number (no) | MICT-390,MBE-391 |
| Page | pp.pp.51-56(MICT), pp.51-56(MBE), |
| #Pages | 6 |
| Date of Issue | 2020-01-18 (MICT, MBE) |