| Presentation | 2020-03-05 ECG Signal Wave Demodulation from Doppler Sensor Received Signal Using Bi-LSTM Ryosuke Hiromatsu, Kohei Yamamoto, Tomoaki Ohtsuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is known that heart disease could be diagnosed from Electrocardiogram (ECG) signals. However, ECG measurement is a contact-type, so the burden on the subject to attach is large. Thus, many method of non-contact heart rate estimation methods using Doppler sensors have been studied. Existing heartbeat detection methods using Doppler sensors have not realized ECG signal detection. In this paper, Bidirectional Long Short Term Memory (Bi-LSTM) commonly used to train the bidirectional long-term dependence of time series data was applied, on signals acquired from Doppler sensors. As a result, a method was proposed for demodulation the electrical signal of the heart from the heartbeat signal. In the proposed method, first the received Doppler signal is converted into a spectrogram by Short Time Fourier Transform (STFT).From the spectrogram, the energy integral of the frequency band where the heartbeat signal can be seen is calculated and input to Bi-LSTM. The ECG signal is restored from the signal obtained from the Doppler sensor by learning in the Bi-LSTM using the electrical signal from the heart obtained from the ECG as an output value. In addition, in order to learn signals with strong correlation, input and output values are synchronized and a data set is generated. Experiments showed that the Q, R, S, and T waves of the electrical signal of the heart could be demodulated. Among the ECG signals, the most characteristic R wave with large amplitude is easy to recover. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Doppler sensor / ECG / Bi-LSTM |
| Paper # | RCS2019-350 |
| Date of Issue | 2020-02-26 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokyo Inst. of Tech.) / Keiichi Mizutani(Anritsu) |
| Assistant | Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | ECG Signal Wave Demodulation from Doppler Sensor Received Signal Using Bi-LSTM |
| Sub Title (in English) | |
| Keyword(1) | Doppler sensor |
| Keyword(2) | ECG |
| Keyword(3) | Bi-LSTM |
| 1st Author's Name | Ryosuke Hiromatsu |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Kohei Yamamoto |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Tomoaki Ohtsuki |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2020-03-05 |
| Paper # | RCS2019-350 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448 |
| Page | pp.pp.159-164(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (RCS) |