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| Presentation | 2018-11-22 13:30 Individual Discrimination of ECG Measured through Capacitive Electrodes by Artificial Neural Network Ryo Kato, Masahiro Tatsuta, Kosuke Sasaki, Masaki Kyoso (TCU)  MBE2018-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The aim of this research is to measure the electrocardiogram using a non-contact type electrode installed in a chair and to identify the individual using the electrocardiogram. In this report, after preparing a non-contact type electrode and measuring the electrocardiogram, the R wave part of the electrocardiogram was cut out, filtered, and its waveform was classified by using a 3-layer neural network. As a result, it was possible to identify with high accuracy as 99.7% accuracy score, 100% precision score, 98.7% recall score. In the future, improvement of decline in identification accuracy is a problem as the number of subjects increases. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural network / Personal identification / Biological signal measurement / Electrocardiogram / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 321, MBE2018-42, pp. 31-34, Nov. 2018. | |
| Paper # | MBE2018-42 | |
| Date of Issue | 2018-11-15 (MBE) | |
| 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 | MBE2018-42 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2018-11-22 - 2018-11-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2018-11-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Individual Discrimination of ECG Measured through Capacitive Electrodes by Artificial Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | Personal identification |
| Keyword(3) | Biological signal measurement |
| Keyword(4) | Electrocardiogram |
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| 1st Author's Name | Ryo Kato |
| 1st Author's Affiliation | Tokyo City University (TCU) |
| 2nd Author's Name | Masahiro Tatsuta |
| 2nd Author's Affiliation | Tokyo City University (TCU) |
| 3rd Author's Name | Kosuke Sasaki |
| 3rd Author's Affiliation | Tokyo City University (TCU) |
| 4th Author's Name | Masaki Kyoso |
| 4th Author's Affiliation | Tokyo City University (TCU) |
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| Speaker | Author-1 |
| Date Time | 2018-11-22 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2018-42 |
| Volume (vol) | vol.118 |
| Number (no) | no.321 |
| Page | pp.31-34 |
| #Pages | 4 |
| Date of Issue | 2018-11-15 (MBE) |
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