Detection of Drug Administration Behavior with Swallowing Sounds

Xiaolin Sang, Shin'ichi Warisawa, Hao Zhang, Katsumi Abe, Masahiro Kubo, Kenichiro Tsuda, Ichiro Yamada

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 swallowing sound.

References

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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