2007年12月
Development of a wearable surveillance system using gait analysis
TELEMEDICINE JOURNAL AND E-HEALTH
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- 巻
- 13
- 号
- 6
- 開始ページ
- 703
- 終了ページ
- 713
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1089/tmj.2007.0015
- 出版者・発行元
- MARY ANN LIEBERT INC
An aging society is a reality in developed countries. An aging population requires more health-care workers and facilities. To reduce this social problem, it is worthwhile to develop a wearable computer for elders or patients to watch over them. In this study, we developed a wearable computer, in which accelerometers were installed to detect variations of posture, falls, and gait disability. The advantages of this system include a designated database server in each patient's home, scalability and flexibility to adapt to patient's needs, and full patient access to their own information. As a first step, we adopted this system for healthy young volunteers with or without impediments to validate the system. The results show that this system can successfully detect variations in posture and falls. We also succeeded in real-time automatic gait analysis by using the Hampering Index. The present study gives useful knowledge for the development of a wearable computer to support the care of elders or other patients.
- リンク情報
- ID情報
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- DOI : 10.1089/tmj.2007.0015
- ISSN : 1530-5627
- PubMed ID : 18177228
- Web of Science ID : WOS:000254067400028