Decoding movement intent of patient with multiple sclerosis for the powered lower extremity exoskeleton

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 4957-4960

  Zhang, Fan ^a   Huang, He ^a  

^a The University of Rhode Island   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROMYOGRAPHIC SIGNAL; GROUND REACTION FORCES; INTENT RECOGNITION; LOWER EXTREMITY EXOSKELETONS; MECHANICAL MEASUREMENTS; MULTIPLE SCLEROSIS; MUSCLE ACTIVITIES; NEUROMUSCULAR CONTROL;

BIOPHYSICS; DECODING; MUSCLE;

HUMAN REHABILITATION EQUIPMENT;

ALGORITHM; AMBULATORY MONITORING; AUTOMATED PATTERN RECOGNITION; BEHAVIOR; BIOMECHANICS; BODY POSTURE; DEVICES; ELECTROMYOGRAPHY; FEMALE; HUMAN; LEG; MOVEMENT (PHYSIOLOGY); MULTIPLE SCLEROSIS; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SIGNAL PROCESSING; THIGH; WALKING;

ALGORITHMS; BIOMECHANICAL PHENOMENA; ELECTROMYOGRAPHY; FEMALE; HUMANS; INTENTION; LOWER EXTREMITY; MONITORING, AMBULATORY; MOVEMENT; MULTIPLE SCLEROSIS; PATTERN RECOGNITION, AUTOMATED; POSTURE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; THIGH; WALKING;

EID: 84886526976     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610660     Document Type: Conference Paper

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