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| Presentation | 2021-03-04 15:00 Cough Detection by Extracting Respiratory Waveform Signal from Photoplethysmography Ippei Endo, Haruki Kawanaka, Koji Oguri (Aichi Pref. Univ.)  MBE2020-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Monitoring cough, which is an early symptom of COVID-19 and chronic obstructive pulmonary disease, is useful for early detection of these symptoms. On the other hand, photoplethysmography(PPG) can acquire a variety of biometric information with a single sensor, such as pulse rate and SpO2. If the presence and frequency of cough can be obtained using this sensor, the value of its use will be enhanced. Therefore, in this study, we propose a method for detecting cough using PPG. Since PPG signal is affected by respiration, we first obtain the respiratory waveform from PPG signal, and then cough is detected from the waveform shape. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | cough monitoring / photoplethysmography / respiratory waveform / linear discriminant analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 402, MBE2020-48, pp. 40-43, March 2021. | |
| Paper # | MBE2020-48 | |
| Date of Issue | 2021-02-24 (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 | MBE2020-48 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2021-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Cough Detection by Extracting Respiratory Waveform Signal from Photoplethysmography |
| Sub Title (in English) | |
| Keyword(1) | cough monitoring |
| Keyword(2) | photoplethysmography |
| Keyword(3) | respiratory waveform |
| Keyword(4) | linear discriminant analysis |
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| Keyword(8) | |
| 1st Author's Name | Ippei Endo |
| 1st Author's Affiliation | Aichi Prefectural University (Aichi Pref. Univ.) |
| 2nd Author's Name | Haruki Kawanaka |
| 2nd Author's Affiliation | Aichi Prefectural University (Aichi Pref. Univ.) |
| 3rd Author's Name | Koji Oguri |
| 3rd Author's Affiliation | Aichi Prefectural University (Aichi Pref. Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-04 15:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2020-48 |
| Volume (vol) | vol.120 |
| Number (no) | no.402 |
| Page | pp.40-43 |
| #Pages | 4 |
| Date of Issue | 2021-02-24 (MBE) |
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