Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance

IEEE Journal of Biomedical and Health Informatics

Volumn 20, Issue 1, 2016, Pages 119-127

  Zuo, Wangmeng ^a   Wang, Peng ^a   Zhang, David ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Computational pulse diagnosis; photoelectric sensor; pressure sensor; pulse signal acquisition; ultrasonic sensor

Indexed keywords

DIAGNOSIS; LEARNING SYSTEMS; PHOTOELECTRICITY; PRESSURE SENSORS; ULTRASONIC SENSORS;

COMPARATIVE EXPERIMENTS; DIAGNOSIS PERFORMANCE; DISEASE CLASSIFICATION; MACHINE LEARNING TECHNIQUES; PHOTOELECTRIC SENSORS; PHYSIOLOGICAL FACTORS; PULSE DIAGNOSIS; PULSE SIGNAL;

SIGNAL PROCESSING;

ADOLESCENT; ADULT; ATHEROSCLEROSIS; CHILD; CHINESE MEDICINE; COMPARATIVE STUDY; DIABETES MELLITUS; FEMALE; HEART RATE; HUMAN; INFANT; MALE; MIDDLE AGED; PHYSIOLOGY; PRESCHOOL CHILD; PROCEDURES; PULSE RATE; SIGNAL PROCESSING; VASCULARIZATION; WRIST; YOUNG ADULT;

ADOLESCENT; ADULT; ATHEROSCLEROSIS; CHILD; CHILD, PRESCHOOL; DIABETES MELLITUS; FEMALE; HEART RATE; HUMANS; INFANT; MALE; MEDICINE, CHINESE TRADITIONAL; MIDDLE AGED; PULSE; SIGNAL PROCESSING, COMPUTER-ASSISTED; WRIST; YOUNG ADULT;

EID: 84973137341     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2014.2369821     Document Type: Article

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