Wearable feedback systems for rehabilitation
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1743-0003-2-17.pdf
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1002.84 KB
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Adobe PDF
Checksum (MD5)
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Author(s)
Sung, Michael
Marci, Carl
Pentland, Alex Paul
Date Issued
June 2005
Journal
Journal of NeuroEngineering and Rehabilitation
Publisher
BioMed Central Ltd
Citation
Journal of NeuroEngineering and Rehabilitation. 2005 Jun 29;2(1):17
Version
Final published version
Abstract
In this paper we describe LiveNet, a flexible wearable platform intended for long-term ambulatory health monitoring with real-time data streaming and context classification. Based on the MIT Wearable Computing Group's distributed mobile system architecture, LiveNet is a stable, accessible system that combines inexpensive, commodity hardware; a flexible sensor/peripheral interconnection bus; and a powerful, light-weight distributed sensing, classification, and inter-process communications software architecture to facilitate the development of distributed real-time multi-modal and context-aware applications. LiveNet is able to continuously monitor a wide range of physiological signals together with the user's activity and context, to develop a personalized, data-rich health profile of a user over time. We demonstrate the power and functionality of this platform by describing a number of health monitoring applications using the LiveNet system in a variety of clinical studies that are underway. Initial evaluations of these pilot experiments demonstrate the potential of using the LiveNet system for real-world applications in rehabilitation medicine.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1186/1743-0003-2-17
