Paper Abstract and Keywords |
Presentation |
2018-05-24 13:00
[Poster Presentation]
Physical Activity Measurement and Analysis Using Accelerometer Sensors and Body Area Network for Wheelchair Users Takumi Kobayashi (YNU), Takeshi Nakamura (YCU), Osamu Yokoyama, Tomoyuki Murata (KRC), Ryuji Kohno (YNU) RCC2018-5 MICT2018-5 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, it has been pointed out that the decrease of the physical activity level of patients with lower limb paralysis may causes systemic symptoms. It is well studied that measure and analyze physical activity of the patients while they are rehabilitating. However, the measurement and analysis are quite difficult to be performed in their daily life such as home and work place. In our research with collaborated with rehabilitation hospital, we developed a physical activity monitoring system by using multiple accelerometers on both ob the patient and wheelchair. These acceleration data is transmitted by dependable Body Area Network (BAN) which is designed to be used to medical purpose and standardized. In this report, we explain more detail of developed physical activity measurement system and the results of experiment to measurement of number of acceleration and position (sitting or lying) of the patient. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Rehabilitation / Physical Activity Analysis / Accelerometer / Body Area Network / Wheelchair / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 54, MICT2018-5, pp. 21-24, May 2018. |
Paper # |
MICT2018-5 |
Date of Issue |
2018-05-17 (RCC, MICT) |
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 |
RCC2018-5 MICT2018-5 |
Conference Information |
Committee |
RCC MICT |
Conference Date |
2018-05-24 - 2018-05-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Big Sight |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MICT |
Conference Code |
2018-05-RCC-MICT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Physical Activity Measurement and Analysis Using Accelerometer Sensors and Body Area Network for Wheelchair Users |
Sub Title (in English) |
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Keyword(1) |
Rehabilitation |
Keyword(2) |
Physical Activity Analysis |
Keyword(3) |
Accelerometer |
Keyword(4) |
Body Area Network |
Keyword(5) |
Wheelchair |
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1st Author's Name |
Takumi Kobayashi |
1st Author's Affiliation |
Yokohama National University (YNU) |
2nd Author's Name |
Takeshi Nakamura |
2nd Author's Affiliation |
Yokohama City University (YCU) |
3rd Author's Name |
Osamu Yokoyama |
3rd Author's Affiliation |
Kanagawa Rehabilitation Hospital (KRC) |
4th Author's Name |
Tomoyuki Murata |
4th Author's Affiliation |
Kanagawa Rehabilitation Hospital (KRC) |
5th Author's Name |
Ryuji Kohno |
5th Author's Affiliation |
Yokohama National University (YNU) |
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Speaker |
Author-1 |
Date Time |
2018-05-24 13:00:00 |
Presentation Time |
240 minutes |
Registration for |
MICT |
Paper # |
RCC2018-5, MICT2018-5 |
Volume (vol) |
vol.118 |
Number (no) |
no.53(RCC), no.54(MICT) |
Page |
pp.21-24 |
#Pages |
4 |
Date of Issue |
2018-05-17 (RCC, MICT) |
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