Abstract
The existing paradigm of ongoing or post-treatment monitoring of patients through periodic but infrequent office visits has many limitations. Relying on self-report by the patient or their family is equally unreliable. We propose an alternative paradigm in which continuous, unobtrusive monitoring is used to observe changes in physical behavior over time. We highlight the use of this technique for monitoring motor activity that may be predictive of early cognitive changes in the elderly. Initial results using a system of low-cost wireless sensors are presented, together with a discussion of appropriate analyses and interpretation of such data. Using low-cost wireless sensor network coupled with algorithms to detect changes in relevant patterns of behavior, we are able to detect both acute and gradual changes that may indicate a need for medical intervention.
Original language | English (US) |
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Pages (from-to) | 2480-2483 |
Number of pages | 4 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 26 IV |
State | Published - 2004 |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Keywords
- Aging
- Home health
- Ubiquitous computing
- Unobtrusive monitoring
- Wireless networks
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics