Prediction of externally applied forces to human hands using frequency content of surface EMG signals

Computer Methods and Programs in Biomedicine

Volumn 98, Issue 1, 2010, Pages 36-44

  Arslan, Yunus Ziya ^a   Adli, Mehmet Arif ^b   Akan, Aydin ^a   Baslo, Mehmet Baris ^c  

^a ISTANBUL UNIVERSITY   (Turkey)

^b MARMARA UNIVERSITY   (Turkey)

^c ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Externally applied forces; Higher order frequency moments; Human hand; Surface electromyography

Indexed keywords

APPLIED FORCES; ARTIFICIAL NEURAL NETWORK; CROSS-CORRELATION COEFFICIENT; ELECTROMYOGRAPHIC; EMG SIGNAL; FREQUENCY CONTENTS; HIGHER ORDER; HUMAN HANDS; INPUT PARAMETER; ISOMETRIC CONTRACTIONS; PREDICTION PERFORMANCE; ROOT MEAN SQUARE DIFFERENCES; ROOT-MEAN-SQUARED; SPECTRAL FEATURE; SURFACE ELECTROMYOGRAPHY; SURFACE EMG; TIME HISTORY;

BACKPROPAGATION ALGORITHMS; ELECTROMYOGRAPHY; EXPERIMENTS; FORECASTING; INSTRUMENT SCALES; MUSCLE; MYOELECTRICALLY CONTROLLED PROSTHETICS; NEURAL NETWORKS; PROCESSING;

SIGNAL PROCESSING;

ADULT; ARM MUSCLE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CONTROLLED STUDY; ELECTRIC ACTIVITY; ELECTROMYOGRAPHY; FORCE; HAND; HUMAN; HUMAN EXPERIMENT; MALE; MUSCLE ISOMETRIC CONTRACTION; MYOELECTRIC CONTROL; NORMAL HUMAN; SIGNAL PROCESSING; TASK PERFORMANCE;

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; HAND; HUMANS; ISOMETRIC CONTRACTION; MOVEMENT; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS AS TOPIC;

EID: 77950367919     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.08.005     Document Type: Article

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