Wearable wireless sensor network to assess clinical status in patients with neurological disorders

Authors:
Konrad Lorincz;Benjamin Kuris;Steven M. Ayer;Shyamal Patel;Paolo Bonato;Matt Welsh
Affiliations:
Harvard University;Intel Digital Health, Cambridge MA;Intel Digital Health, Cambridge MA;Harvard Medical School;Harvard Medical School and Harvard-MIT Division of Health Sciences & Technology;Harvard University
Venue:
Proceedings of the 6th international conference on Information processing in sensor networks
Year:
2007

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Abstract

The goal of this project is to develop wireless sensors and analysis methods to monitor patients with various motor dysfunctions. We are currently targeting two specific applications: facilitating medication titration in patients with Parkinson's disease and assessing motor recovery in stroke survivors undergoing rehabilitation. In our vision, the treatment and rehabilitation hospital of the future will allow clinicians to continuously monitor motor activity in patients via miniature sensor technology in order to better design interventions on an individual basis. Two key points toward developing the tools necessary to achieve continuous monitoring of motor function are (1) development of a robust and deployable wearable wireless network of sensors and (2) the development of analysis techniques to derive clinically relevant information from miniature sensor data.