Health sensor data analysis for a hospital and developing countries

Yasunobu Nohara, Sozo Inoue, Naoki Nakashima

研究成果: 書籍/レポート タイプへの寄稿

抄録

We present two types of sensor data analysis for medical and healthcare. One sensor dataset is collected in a hospital for medical purposes. We gathered accelerometer data and RFID data of real nursing in the hospital. We provide the real nursing dataset for mobile activity recognition which could be used for supervised machine learning, and also the big data combined with the patients’ medical records and sensors tried for 2 years. The other sensor dataset is collected in a developing country. We developed an eHealth system that comprises a set of sensor devices in an attache case. The first checkup was provided to 16,741 subjects. After 1 year, 2361 subjects participated in the second checkup, and the blood pressure of these subjects was significantly decreased (P<0. 001). Based on these results we proposed a cost-effective method using a predictor, to ensure sustainability of the program in developing countries.

本文言語英語
ホスト出版物のタイトルSmart Sensors and Systems
ホスト出版物のサブタイトルInnovations for Medical, Environmental, and IoT Applications
出版社Springer International Publishing
ページ485-518
ページ数34
ISBN(電子版)9783319332017
ISBN(印刷版)9783319332000
DOI
出版ステータス出版済み - 1月 1 2016

!!!All Science Journal Classification (ASJC) codes

  • 工学(全般)
  • コンピュータ サイエンス(全般)

フィンガープリント

「Health sensor data analysis for a hospital and developing countries」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル