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| Presentation | 2018-08-09 14:10 [Invited Lecture] Sparse Adaptive Algorithms to Realize Non-contact Heartbeat Detection Chen Ye, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.)  SAT2018-34 RCS2018-137 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The development of non-contact monitoring technique has a great influence on the heartbeat monitoring, such as, for drivers and burned patients. In particular, the heartbeat detection with Doppler radar has drawn extensive attentions. However, since the heartbeat signal contained in received radar signals is quite weak, the detection accuracy obviously deteriorates in the presence of respiration and body motion. In this report, a robust heartbeat detection algorithm is proposed, based on the spectrum reconstruction method termed stochastic gradient. Through correcting the gradient of cost function constructed by recursion error, and utilizing the sparse characteristics of heartbeat spectrum, the weak heartbeat component is extracted by the reconstructed spectrum with minimum deviation. Furthermore, the proposed algorithm realizes more stable sparse spectrum reconstruction (SSR), by quantizing the updating of recursion error. Under the sitting still and typing with a laptop for five subjects, the proposed method is validated to improve the detection accuracies over the conventional method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Non-contact heartbeat detection / Doppler radar / sparse spectrum reconstruction (SSR) / stochastic gradient / adaptive filter / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 177, RCS2018-137, pp. 31-36, Aug. 2018. | |
| Paper # | RCS2018-137 | |
| Date of Issue | 2018-08-02 (SAT, 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 | SAT2018-34 RCS2018-137 |
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| Conference Information | |
| Committee | SAT RCS |
| Conference Date | 2018-08-09 - 2018-08-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Iwate University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communications, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2018-08-SAT-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sparse Adaptive Algorithms to Realize Non-contact Heartbeat Detection |
| Sub Title (in English) | |
| Keyword(1) | Non-contact heartbeat detection |
| Keyword(2) | Doppler radar |
| Keyword(3) | sparse spectrum reconstruction (SSR) |
| Keyword(4) | stochastic gradient |
| Keyword(5) | adaptive filter |
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| 1st Author's Name | Chen Ye |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Kentaroh Toyoda |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Tomoaki Ohtsuki |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-08-09 14:10:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | SAT2018-34, RCS2018-137 |
| Volume (vol) | vol.118 |
| Number (no) | no.176(SAT), no.177(RCS) |
| Page | pp.29-34(SAT), pp.31-36(RCS) |
| #Pages | 6 |
| Date of Issue | 2018-08-02 (SAT, RCS) |
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