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Mercury: A Wearable Sensor Network Platform for High-Fidelity Motion Analysis
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@MISC{Lorincz_mercury:a,
author = {Konrad Lorincz and Bor-rong Chen and Geoffrey Werner Challen and Atanu Roy Chowdhury and Shyamal Patel and Paolo Bonato and Matt Welsh and Spaulding Rehabilitation Hospital},
title = {Mercury: A Wearable Sensor Network Platform for High-Fidelity Motion Analysis},
year = {}
}
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Abstract
This paper describes Mercury, a wearable, wireless sensor platform for motion analysis of patients being treated for neuromotor disorders, such as Parkinson’s Disease, epilepsy, and stroke. In contrast to previous systems intended for short-term use in a laboratory, Mercury is designed to support long-term, longitudinal data collection on patients in hospital and home settings. Patients wear up to 8 wireless nodes equipped with sensors for monitoring movement and physiological conditions. Individual nodes compute high-level features from the raw signals, and a base station performs data collection and tunes sensor node parameters based on energy availability, radio link quality, and application specific policies. Mercury is designed to overcome the core challenges of long battery lifetime and high data fidelity for long-term studies where patients wear sensors continuously 12 to 18 hours a day. This requires tuning sensor operation and data transfers based on energy consumption of each node and processing data under severe computational constraints. Mercury provides a high-level programming interface that allows a clinical researcher to rapidly build up different policies for driving data collection and tuning sensor lifetime. We present the Mercury architecture and a detailed evaluation of two applications of the system for monitoring patients with Parkinson’s Disease and epilepsy.
Keyphrases
wearable sensor network platform high-fidelity motion analysis energy consumption physiological condition base station performs node parameter short-term use compute high-level feature long-term study raw signal energy availability processing data high-level programming interface home setting data transfer mercury architecture severe computational constraint core challenge detailed evaluation neuromotor disorder wireless node motion analysis high data fidelity radio link quality longitudinal data collection application specific policy parkinson disease sensor lifetime data collection sensor operation clinical researcher long battery lifetime previous system different policy wireless sensor platform
