A segmentation technique based on standard deviation in body sensor networks

2007 IEEE Dallas Engineering in Medicine and Biology Workshop, DEMBS

Volumn , Issue , 2007, Pages 63-66

  Guenterberg, Eric ^b   Ghasemzadeh, Hassan ^a,b   Jafari, Roozbeh ^a,b   Bajcsy, Ruzena ^a,c  

^a IEEE

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

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY INEXPENSIVE; EXPERIMENTAL VERIFICATION; HEALTH MONITORING; HUMAN INTERACTIONS; QUALITY OF CARE; SEGMENTATION SCHEME; SENSOR READINGS; STANDARD DEVIATION (STD); WIRELESS SENSOR NODES;

DETECTORS; ELECTRIC NETWORK SYNTHESIS; FEATURE EXTRACTION; HEALTH; HEALTH CARE; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; SENSORS; SIGNAL PROCESSING; STANDARDS; STATISTICS; TELECOMMUNICATION EQUIPMENT;

SENSOR NETWORKS;

EID: 48949118114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBSW.2007.4454174     Document Type: Conference Paper

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