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Volumn , Issue , 2008, Pages 2900-2903
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Classification of low-level finger contraction from single channel surface EMG
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Author keywords
[No Author keywords available]
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Indexed keywords
CONTROL EQUIPMENT;
ELECTROPHYSIOLOGY;
PATIENT REHABILITATION;
BODY TISSUES;
CLASSIFICATION ACCURACY;
CONTROL COMMAND;
FINGER FLEXION;
HEALTHY VOLUNTEERS;
MOTOR UNIT ACTION POTENTIALS;
MUSCLE CONTRACTIONS;
SINGLE CHANNELS;
PALMPRINT RECOGNITION;
ACTION POTENTIAL;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
ARTIFICIAL NEURAL NETWORK;
AUTOMATED PATTERN RECOGNITION;
COMPUTER INTERFACE;
COMPUTER PROGRAM;
ELECTROMYOGRAPHY;
EQUIPMENT;
EQUIPMENT DESIGN;
FEMALE;
FINGER;
HUMAN;
MALE;
METHODOLOGY;
MUSCLE CONTRACTION;
PHYSIOLOGY;
REPRODUCIBILITY;
SIGNAL PROCESSING;
ACTION POTENTIALS;
ARTIFICIAL INTELLIGENCE;
ELECTROMYOGRAPHY;
EQUIPMENT DESIGN;
FEMALE;
FINGERS;
HUMANS;
MALE;
MUSCLE CONTRACTION;
NEURAL NETWORKS (COMPUTER);
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SIGNAL PROCESSING, COMPUTER-ASSISTED;
SOFTWARE;
USER-COMPUTER INTERFACE;
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EID: 61849146957
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/iembs.2008.4649809 Document Type: Conference Paper |
Times cited : (15)
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References (12)
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