A body sensor network with electromyogram and inertial sensors: Multimodal interpretation of muscular activities

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 2, 2010, Pages 198-206

  Ghasemzadeh, Hassan ^a   Jafari, Roozbeh ^a   Prabhakaran, Balakrishnan ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Accelerometer; Body sensor networks; Electromyogram (EMG); Standing balance

Indexed keywords

ACCELEROMETER DATA; BODY SENSOR NETWORK; CENTER OF MASS; CLASSIFICATION TESTS; CONTROL SIGNAL; ELECTROMYOGRAM; ELECTROMYOGRAM (EMG); EMG SIGNAL; FALL DETECTION; GASTROCNEMIUS MUSCLE; HUMAN BALANCE; INERTIAL SENSOR; MACHINE-LEARNING; MULTI-MODAL; MUSCLE ACTIVITIES; MUSCULAR ACTIVITIES; NEUROMUSCULAR SYSTEMS; NOVEL INTERPRETATION; POSTURAL CONTROL SYSTEMS; POSTURAL SWAY; STATISTICAL TECHNIQUES; STRONG CORRELATION; TIBIALIS ANTERIOR; UNIQUE FEATURES;

ACCELEROMETERS; DIAGNOSIS; FEATURE EXTRACTION; INERTIAL NAVIGATION SYSTEMS; SENSOR NETWORKS; SMART SENSORS; SPORTS MEDICINE; WIRELESS SENSOR NETWORKS;

MUSCLE;

ACCELERATION; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY EQUILIBRIUM; ELECTROMYOGRAPHY; HUMAN; INSTRUMENTATION; LEG; MALE; METHODOLOGY; MONITORING; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; SKELETAL MUSCLE; STATISTICAL ANALYSIS;

ACCELERATION; ADULT; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROMYOGRAPHY; HUMANS; LEG; MALE; MONITORING, PHYSIOLOGIC; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); POSTURAL BALANCE; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77949698020     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2035050     Document Type: Article

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