Grasps recognition and evaluation of stroke patients for supporting rehabilitation therapy

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Leon, Beatriz ^a   Basteris, Angelo ^a   Infarinato, Francesco ^b   Sale, Patrizio ^b   Nijenhuis, Sharon ^c   Prange, Gerdienke ^c   Amirabdollahian, Farshid ^a  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

^b IRCCS SAN RAFFAELE PISANA   (Italy)

^c ROESSINGH RESEARCH AND DEVELOPMENT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AGED; ARM MOVEMENT; ARTICLE; BODY POSTURE; BRAIN HEMORRHAGE; BRAIN ISCHEMIA; CLINICAL ARTICLE; CONTROLLED STUDY; DAILY LIFE ACTIVITY; EVALUATION STUDY; EXOSKELETON; FEMALE; GRASP RECOGNITION METHOD; GRIP STRENGTH; HAND; HUMAN; KERNEL METHOD; LIMITED MOBILITY; MALE; MOTOR DYSFUNCTION; ROBOTICS; STROKE PATIENT; SUPPORT VECTOR MACHINE; VERY ELDERLY; WRIST; ADULT; FINGER; GESTURE; HAND STRENGTH; MIDDLE AGED; MOTOR ACTIVITY; PATHOPHYSIOLOGY; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; RECOGNITION; REGRESSION ANALYSIS; STROKE; TIME FACTOR;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; FINGERS; GESTURES; HAND STRENGTH; HUMANS; MALE; MIDDLE AGED; MOTOR ACTIVITY; POSTURE; PSYCHOMOTOR PERFORMANCE; RECOGNITION (PSYCHOLOGY); REGRESSION ANALYSIS; STROKE; TIME FACTORS;

EID: 84924794964     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/318016     Document Type: Article

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