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Paper Abstract and Keywords
Presentation 2021-07-28 12:40
Microwave Blood Pressure Estimation Using Machine Learning
Kota Sasaki, Naoki Honma, Kentaro Murata, Morio Iwai, Koichiro Kobayashi (Iwate Univ.), Atsushi Sato (EQUOS RESEARCH) AP2021-27 SANE2021-17
Abstract (in Japanese) (See Japanese page) 
(in English) This report proposes and experimentally assesses a non-contact blood pressure estimation method using a microwave and KNN (k-Nearest Neighbor algorithm). First, the proposed method extracts a heartbeat component of vital signs from the measured propagation channel response obtained by CW-MIMO (Continuous Wave - Multiple-Input Multiple-Output) radar. After that, this method learns the relationship between some features in the microwave waveforms and simultaneously measured blood pressure observed by a continuous sphygmomanometer. Finally, the blood pressure value is estimated by using KNN classification. The experiment results show that the proposed method can detect non-contact blood pressure using microwave radar.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO radar / blood pressure / vital sign / machine learning / KNN (K-Nearest Neighbor algorithm) / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 126, AP2021-27, pp. 19-24, July 2021.
Paper # AP2021-27 
Date of Issue 2021-07-21 (AP, SANE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 AP2021-27 SANE2021-17

Conference Information
Committee AP SANE SAT  
Conference Date 2021-07-28 - 2021-07-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2021-07-AP-SANE-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Microwave Blood Pressure Estimation Using Machine Learning 
Sub Title (in English)  
Keyword(1) MIMO radar  
Keyword(2) blood pressure  
Keyword(3) vital sign  
Keyword(4) machine learning  
Keyword(5) KNN (K-Nearest Neighbor algorithm)  
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1st Author's Name Kota Sasaki  
1st Author's Affiliation Iwate University (Iwate Univ.)
2nd Author's Name Naoki Honma  
2nd Author's Affiliation Iwate University (Iwate Univ.)
3rd Author's Name Kentaro Murata  
3rd Author's Affiliation Iwate University (Iwate Univ.)
4th Author's Name Morio Iwai  
4th Author's Affiliation Iwate University (Iwate Univ.)
5th Author's Name Koichiro Kobayashi  
5th Author's Affiliation Iwate University (Iwate Univ.)
6th Author's Name Atsushi Sato  
6th Author's Affiliation EQUOS RESEARCH Co., Ltd. (EQUOS RESEARCH)
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Speaker Author-1 
Date Time 2021-07-28 12:40:00 
Presentation Time 25 minutes 
Registration for AP 
Paper # AP2021-27, SANE2021-17 
Volume (vol) vol.121 
Number (no) no.126(AP), no.127(SANE) 
Page pp.19-24(AP), pp.12-17(SANE) 
#Pages
Date of Issue 2021-07-21 (AP, SANE) 


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