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Paper Abstract and Keywords
Presentation 2021-09-24 13:30
Study of the Remote Support System for Fetal Health Conditions Using AI -- Study of the Method to Evaluate for Fetal Health Conditions Using Multi-variable and Multi-order Markov Chain Probability --
Chikahiro Araki, Chiyo Tamamura, Makoto Orisaka, Yoshio Yoshida, Miko Mori, Tatuya Asa (Univ. of Fukui) US2021-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the method to build a support system for obstetricians to determine the appropriate timing for pregnant mothers to go to the hospital by screening the fetal health conditions (fetal function) from fetal heart rate data which are sent by mothers from home and analyzed by the obstetrician so that those living in remote areas do not have to visit the hospital frequently. In obstetric facilities, obstetricians usually analyze fetal heart rate waveform displayed on the monitor screen of a delivery monitoring device to evaluate fetal function. The method to evaluate the fetal health conditions using multi-variable and multi-order Markov chain probability is proposed and the experimental results are discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Remote Diagnosis Support / Sympathetic Activity Index / Parasympathetic Activity Index / Power Spectrum of Heart Rate Variability / Low Frequency (LF) / High Frequency (HF) / Multivariate and Multiple Markov Chain Probability /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 182, US2021-34, pp. 1-6, Sept. 2021.
Paper # US2021-34 
Date of Issue 2021-09-17 (US) 
ISSN Print edition: ISSN 0913-5685  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 US2021-34

Conference Information
Committee US  
Conference Date 2021-09-24 - 2021-09-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Photoacoustics, Ultrasound in medicine, Ultrasonics, etc. 
Paper Information
Registration To US 
Conference Code 2021-09-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of the Remote Support System for Fetal Health Conditions Using AI 
Sub Title (in English) Study of the Method to Evaluate for Fetal Health Conditions Using Multi-variable and Multi-order Markov Chain Probability 
Keyword(1) Remote Diagnosis Support  
Keyword(2) Sympathetic Activity Index  
Keyword(3) Parasympathetic Activity Index  
Keyword(4) Power Spectrum of Heart Rate Variability  
Keyword(5) Low Frequency (LF)  
Keyword(6) High Frequency (HF)  
Keyword(7) Multivariate and Multiple Markov Chain Probability  
Keyword(8)  
1st Author's Name Chikahiro Araki  
1st Author's Affiliation University of Fukui (Univ. of Fukui)
2nd Author's Name Chiyo Tamamura  
2nd Author's Affiliation University of Fukui (Univ. of Fukui)
3rd Author's Name Makoto Orisaka  
3rd Author's Affiliation University of Fukui (Univ. of Fukui)
4th Author's Name Yoshio Yoshida  
4th Author's Affiliation University of Fukui (Univ. of Fukui)
5th Author's Name Miko Mori  
5th Author's Affiliation University of Fukui (Univ. of Fukui)
6th Author's Name Tatuya Asa  
6th Author's Affiliation University of Fukui (Univ. of Fukui)
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Speaker
Date Time 2021-09-24 13:30:00 
Presentation Time 25 
Registration for US 
Paper # IEICE-US2021-34 
Volume (vol) IEICE-121 
Number (no) no.182 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-US-2021-09-17 


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