A web-based system for home monitoring of patients with Parkinson's disease using wearable sensors.
This letter introduces MercuryLive, a platform to enable home monitoring of patients with Parkinson's disease (PD) using wearable sensors. MercuryLive contains three tiers: a resource-aware data collection engine that relies upon wearable sensors, web services for live streaming and storage of sensor data, and a web-based graphical user interface client with video conferencing capability. Besides, the platform has the capability of analyzing sensor (i.e., accelerometer) data to reliably estimate clinical scores capturing the severity of tremor, bradykinesia, and dyskinesia. Testing results showed an average data latency of less than 400 ms and video latency of about 200 ms with video frame rate of about 13 frames/s when 800 kb/s of bandwidth were available and we used a 40% video compression, and data feature upload requiring 1 min of extra time following a 10 min interactive session. These results indicate that the proposed platform is suitable to monitor patients with PD to facilitate the titration of medications in the late stages of the disease.
Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138, USA. brchen@eecs.harvard.edu
Bor-Rong
BR
Chen
Shyamal
S
Patel
Thomas
T
Buckley
Ramona
R
Rednic
Douglas J
DJ
McClure
Ludy
L
Shih
Daniel
D
Tarsy
Matt
M
Welsh
Paolo
P
Bonato
D003020:Clothing; D003195:Computer Communication Networks / Q000295:instrumentation*; D006801:Humans; D020407:Internet; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D010300:Parkinson Disease / Q000503:physiopathology* / Q000628:therapy; D014584:User-Computer Interface