Paper Abstract and Keywords |
Presentation |
2017-01-28 14:10
Autonomic Nervous Activity Estimation for Daily Life using Estimated Respiratory Feature Derived from Heart Rate Variability features Kana Eguchi, Ryosuke Aoki, Kazuhiro Yoshida, Tomohiro Yamada (NTT) MBE2016-80 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Heart Rate Variability (HRV) features are majorly used for indirect measurement of autonomic nervous activity. However, they might not appropriately reflect autonomic nervous activity without respiration control such as daily life. Since respiratory features also reflect autonomic nervous activity, this paper proposes feature value estimation from HRV to respiration, and status estimation using those estimated features in order to enable accurate estimation of autonomic nervous activity without respiration control. As an initial investigation, this paper clarifies the relationship between HRV features and respiratory features without respiration control under the mental arithmetic task, which activates sympathetic nervous system. The experimental results show that the proposed method has potential to appropriately estimate respiratory features from HRV features. Moreover, estimated respiratory feature is useful for status estimation between the rest and the mental arithmetic task. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Autonomic nervous system / Heart Rate Variability (HRV) analysis / Frequency domain measures of HRV / General spontaneous respiration / Respiratory features / Ventilation volume / Feature value estimation / Status estimation |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 435, MBE2016-80, pp. 57-62, Jan. 2017. |
Paper # |
MBE2016-80 |
Date of Issue |
2017-01-20 (MBE) |
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) |
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MBE2016-80 |
Conference Information |
Committee |
MBE |
Conference Date |
2017-01-27 - 2017-01-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
MBE |
Conference Code |
2017-01-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Autonomic Nervous Activity Estimation for Daily Life using Estimated Respiratory Feature Derived from Heart Rate Variability features |
Sub Title (in English) |
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Keyword(1) |
Autonomic nervous system |
Keyword(2) |
Heart Rate Variability (HRV) analysis |
Keyword(3) |
Frequency domain measures of HRV |
Keyword(4) |
General spontaneous respiration |
Keyword(5) |
Respiratory features |
Keyword(6) |
Ventilation volume |
Keyword(7) |
Feature value estimation |
Keyword(8) |
Status estimation |
1st Author's Name |
Kana Eguchi |
1st Author's Affiliation |
NTT Service Evolution Laboratories (NTT) |
2nd Author's Name |
Ryosuke Aoki |
2nd Author's Affiliation |
NTT Service Evolution Laboratories (NTT) |
3rd Author's Name |
Kazuhiro Yoshida |
3rd Author's Affiliation |
NTT Service Evolution Laboratories (NTT) |
4th Author's Name |
Tomohiro Yamada |
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NTT Service Evolution Laboratories (NTT) |
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Speaker |
Author-1 |
Date Time |
2017-01-28 14:10:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2016-80 |
Volume (vol) |
vol.116 |
Number (no) |
no.435 |
Page |
pp.57-62 |
#Pages |
6 |
Date of Issue |
2017-01-20 (MBE) |
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