Classification of hand posture from electrocorticographic signals recorded during varying force conditions

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

Volumn , Issue , 2011, Pages 5782-5785

  Degenhart, Alan D ^a   Collinger, Jennifer L ^a   Vinjamuri, Ramana ^a   Kelly, John W ^b   Tyler Kabara, Elizabeth C ^a   Wang, Wei ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLIED FORCES; CLASSIFICATION ACCURACY; CONTROL SIGNAL; CORTICAL FIELDS; ELECTROCORTICOGRAPHIC SIGNALS; ELECTROCORTICOGRAPHY; FORCE CONDITIONS; FORCE LEVEL; HAND POSTURE; HIGH-DENSITY; HUMAN SUBJECTS; MOTOR TASKS; SIGNAL MODULATIONS;

ENGINEERING; INDUSTRIAL ENGINEERING;

ELECTROPHYSIOLOGY;

ALGORITHM; ARTICLE; BODY POSTURE; ELECTROENCEPHALOGRAPHY; EXERCISE; HAND; HAND STRENGTH; HUMAN; METHODOLOGY; MOTOR CORTEX; MUSCLE CONTRACTION; MUSCLE STRENGTH; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; HAND; HAND STRENGTH; HUMANS; MOTOR CORTEX; MUSCLE CONTRACTION; MUSCLE STRENGTH; MUSCLE, SKELETAL; PHYSICAL EXERTION; POSTURE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862284447     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091431     Document Type: Conference Paper

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