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Authors: Xiaolin Sang 1 ; Shin'ichi Warisawa 2 ; Hao Zhang 1 ; Katsumi Abe 3 ; Masahiro Kubo 3 ; Kenichiro Tsuda 3 and Ichiro Yamada 2

Affiliations: 1 The University of Tokyo, Japan ; 2 The University of Tokyo, The University of Tokyo and School of Engineering & Graduate School of Frontier Science, Japan ; 3 NEC Corporation, Japan

ISBN: 978-989-758-068-0

Keyword(s): Drug Administration, Wearable Sensing, Swallowing Sounds, Wavelet Transform, Classification.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Information Systems ; Healthcare Management Systems ; Human-Computer Interaction ; Pattern Recognition and Machine Learning ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: In recent years, chronic diseases have become the main causes of death around the world, and medication non-adherence among patients with chronic diseases is a common problem. A system for detecting drug administration behavior in daily life is strongly required. Currently, there is not a system for detecting this behavior by using wearable sensors. In this paper, we propose a wearable sensing method for detecting drug administration behavior in daily life by using swallowing sound, which is available and suitable for daily monitoring. To recognize the behavior from swallowing activities, a classification methodology using wavelet based features as feature vectors and artificial neural network as classifier is proposed. A high classification accuracy of 85.4% was achieved in classifying two swallowing activities of drinking water and taking a capsule with water. Furthermore, we also propose a compensation method for time-dependent change based on the frequency characteristics of swall owing sound. (More)

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Paper citation in several formats:
Sang, X.; Warisawa, S.; Zhang, H.; Abe, K.; Kubo, M.; Tsuda, K. and Yamada, I. (2015). Detection of Drug Administration Behavior with Swallowing Sounds.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 367-373. DOI: 10.5220/0005212803670373

@conference{healthinf15,
author={Xiaolin Sang. and Shin'ichi Warisawa. and Hao Zhang. and Katsumi Abe. and Masahiro Kubo. and Kenichiro Tsuda. and Ichiro Yamada.},
title={Detection of Drug Administration Behavior with Swallowing Sounds},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={367-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005212803670373},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Detection of Drug Administration Behavior with Swallowing Sounds
SN - 978-989-758-068-0
AU - Sang, X.
AU - Warisawa, S.
AU - Zhang, H.
AU - Abe, K.
AU - Kubo, M.
AU - Tsuda, K.
AU - Yamada, I.
PY - 2015
SP - 367
EP - 373
DO - 10.5220/0005212803670373

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