| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2020-03-05 09:20 ECG Signal Wave Demodulation from Doppler Sensor Received Signal Using Bi-LSTM Ryosuke Hiromatsu, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.)  RCS2019-350 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Doppler sensor / ECG / Bi-LSTM / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 448, RCS2019-350, pp. 159-164, March 2020. | |
| Paper # | RCS2019-350 | |
| Date of Issue | 2020-02-26 (RCS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | RCS2019-350 |
|
| Conference Information | |
| Committee | RCS SR SRW |
| Conference Date | 2020-03-04 - 2020-03-06 |
| 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 |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2020-03-RCS-SR-SRW |
| Language | Japanese |
| 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 |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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.) |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2020-03-05 09:20:00 |
| Presentation Time | 20 minutes |
| Registration for | RCS |
| Paper # | RCS2019-350 |
| Volume (vol) | vol.119 |
| Number (no) | no.448 |
| Page | pp.159-164 |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (RCS) |
[Return to Top Page]