Work

Home monitoring of patients with Parkinson's disease via wearable technology and a web-based application

Year: 2010

Type: conference-paper

Abstract: Objective long-term health monitoring can improve the clinical management of several medical conditions ranging from cardiopulmonary diseases to motor disorders. In this paper, we present our work toward the development of a home-monitoring system. The system is currently used to monitor patients with Parkinson's disease who experience severe motor fluctuations. Monitoring is achieved using wireless wearable sensors whose data are relayed to a remote clinical site via a web-based application. The work herein presented shows that wearable sensors combined with a web-based application provide reliable quantitative information that can be used for clinical decision making.

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/iembs.2010.5627124

Authors: S Patel, Bor-rong Chen, T Buckley, R Rednic, D McClure, D Tarsy, L Shih, J Dy, M Welsh, P Bonato

Institutions: Harvard University, Spaulding Rehabilitation Hospital, Coventry University, Partners HealthCare Connected Health, Beth Israel Deaconess Medical Center, Northeastern University, Massachusetts Institute of Technology

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1982948624

FWCI: 3.568

Cites: 8

Cited by: 93

Related to: 10