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Journal of NeuroEngineering and Rehabilitation

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Open Access 01-12-2005 | Research

Wearable feedback systems for rehabilitation

Authors: Michael Sung, Carl Marci, Alex Pentland

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2005

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.

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Title: Wearable feedback systems for rehabilitation
Authors: Michael Sung
Carl Marci
Alex Pentland
Publication date: 01-12-2005
Publisher: BioMed Central
Published in: Journal of NeuroEngineering and Rehabilitation / Issue 1/2005
Electronic ISSN: 1743-0003
DOI: https://doi.org/10.1186/1743-0003-2-17

2024 ASCO Annual Meeting

Springer Medicine

Wearable feedback systems for rehabilitation

Abstract

2024 ASCO Annual Meeting

Springer Medicine

Abstract

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