A web-based system for home monitoring of patients with Parkinson's disease using wearable sensors
| Autor: | Matt Welsh, Thomas Buckley, Bor-rong Chen, D J McClure, Ludy C. Shih, Paolo Bonato, Shyamal Patel, Ramona Rednic, Daniel Tarsy |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Internet business.industry Remote patient monitoring Real-time computing Biomedical Engineering Wearable computer Monitoring Ambulatory Parkinson Disease computer.software_genre Frame rate Clothing Upload Computer Communication Networks User-Computer Interface Videoconferencing Embedded system Web application Humans Web service business computer Data compression |
| Zdroj: | IEEE transactions on bio-medical engineering. 58(3) |
| ISSN: | 1558-2531 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|