Sensor evaluation for wearable strain gauges in neurological rehabilitation

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 17, Issue 4, 2009, Pages 409-415

  Giorgino, Toni ^a,b   Tormene, Paolo ^a   Lorussi, Federico ^c   De Rossi, Danilo ^c   Quaglini, Silvana ^a  

^a UNIVERSITY OF PAVIA   (Italy)

^b Barcelona Biomedical Research Park   (Spain)

^c UNIVERSITY OF PISA   (Italy)

Author keywords

Artificial intelligence; Attribute selection; Conductive elastomer; Information gain; Poststroke rehabilitation; Posture recognition; Strain sensors; Wearable

Indexed keywords

ATTRIBUTE SELECTION; CONDUCTIVE ELASTOMER; INFORMATION GAIN; POSTSTROKE REHABILITATION; POSTURE RECOGNITION; STRAIN SENSORS; WEARABLE;

ARTIFICIAL INTELLIGENCE; GAGES; LEARNING ALGORITHMS; PATIENT REHABILITATION; PLASTICS; REMOTE CONTROL; RUBBER; SENSORS; SET THEORY; STRAIN; SUPERVISED LEARNING;

CONDUCTING POLYMERS;

ARM; ARTICLE; BODY POSITION; BODY POSTURE; EXERCISE; FEEDBACK SYSTEM; HUMAN; INFORMATION TECHNOLOGY; LEARNING; LIMB; MOTOR CONTROL; MOVEMENT (PHYSIOLOGY); NEUROLOGY; OBSERVATION; PRIORITY JOURNAL; REHABILITATION; REHABILITATION MEDICINE; SENSOR; STRAIN GAUGE TRANSDUCER; TECHNOLOGY;

CLOTHING; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; MONITORING, AMBULATORY; NERVOUS SYSTEM DISEASES; POSTURE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TRANSDUCERS;

EID: 69249107378     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2009.2019584     Document Type: Article

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