On-site Evaluation of Rehabilitation Patients Monitoring System Using Distributed Wireless Gateways

  • Kenichi Matsunaga
  • , Takayuki Ogasawara
  • , Junichi Kodate
  • , Masahiko Mukaino
  • , Eiichi Saitoh

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

5 被引用数 (Scopus)

抄録

This paper presents a hands-free monitoring system for rehabilitation patients that uses wireless gateways to fully cover the floor of an inpatient ward. For stroke rehabilitation, 24-hour monitoring is recommended. Low-power wireless such as Bluetooth Low Energy (BLE) is suitable for this purpose because of its long battery life. However, most systems require smartphones or tablet computers to acquire patient data due to BLE's short communication range. Instead of using smartphones, we installed around fifty BLE gateways to implement a hands-free data acquisition system. The system was evaluated both quantitatively and qualitatively. The data acquisition rate of the system was found to be over 90% through 24-hour patient monitoring, which is almost the same as that for systems using smartphones. Questionnaires about usability administered to both medical staff and patients suggested that they felt the smartphone-less system was more comfortable than the smartphone system. These results suggest the possibility of using such a distributed data acquisition system in real medical wards and its benefits.

本文言語英語
ホスト出版物のタイトル2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3195-3198
ページ数4
ISBN(電子版)9781538613115
DOI
出版ステータス出版済み - 07-2019
イベント41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, ドイツ
継続期間: 23-07-201927-07-2019

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

会議

会議41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
国/地域ドイツ
CityBerlin
Period23-07-1927-07-19

All Science Journal Classification (ASJC) codes

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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