A novel approach to monitor rehabilitation outcomes in stroke survivors using wearable technology

Proceedings of the IEEE

Volumn 98, Issue 3, 2010, Pages 450-461

  Patel, Shyamal ^a   Hughes, Richard ^a   Hester, Todd ^b   Stein, Joel ^c   Akay, Metin ^d   Dy, Jennifer G ^e   Bonato, Paolo ^a  

^a and Red Sox Foundation and Massachusetts General Hospital Home Base Program   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c Department of Obstetrics Gynecology   (United States)

^d UNIVERSITY OF HOUSTON   (United States)

^e Northeastern University   (United States)

Author keywords

Random forests; Rehabilitation; Stroke; Wearable technology

Indexed keywords

ACCELEROMETERS; DECISION TREES; GRADING; PATIENT REHABILITATION; WEARABLE TECHNOLOGY;

ACCELEROMETER DATA; CLINICAL INTERVENTIONS; FUNCTIONAL ABILITIES; QUANTITATIVE ASSESSMENTS; RANDOM FORESTS; REHABILITATION OUTCOMES; STANDARD DEVIATION; STROKE;

WEARABLE SENSORS;

EID: 77949424808     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2009.2038727     Document Type: Article

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