Prediction of wrist angle from sonomyography signals with artificial neural networks technique

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 3549-3552

  Shi, Jun ^a   Zheng, Yongping ^b   Yan, Zhuangzhi ^a  

^a SHANGHAI UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMECHANICS; ELECTROMYOGRAPHY; LEARNING ALGORITHMS; MEAN SQUARE ERROR; MUSCLE; NEURAL NETWORKS; ULTRASONIC IMAGING;

FLEXION; MUSCLE DEFORMATION; ROOT MEAN SQUARE; SURFACE ELECTROMYOGRAPHY (SEMG);

JOINTS (ANATOMY);

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMEDICAL ENGINEERING; BODY POSTURE; ECHOGRAPHY; ELECTROMYOGRAPHY; FEMALE; HUMAN; MALE; PHYSIOLOGY; SIGNAL PROCESSING; SKELETAL MUSCLE; STATISTICS; WRIST;

ADULT; ALGORITHMS; BIOMEDICAL ENGINEERING; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); POSTURE; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY; WRIST JOINT;

EID: 34047201977     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259708     Document Type: Conference Paper

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