The abnormal vs. normal ECG classification based on key features and statistical learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6076 LNAI, Issue PART 1, 2010, Pages 136-143

  Dong, Jun ^a   Tong, Jia Fei ^a   Liu, Xia ^b  

^a SUZHOU INSTITUTE OF NANO TECH AND NANO BIONICS   (China)

^b SHANGHAI SECOND MEDICAL UNIVERSITY   (China)

Author keywords

Classification; ECG; Features; Statistical Learning; Support Vector Machine

Indexed keywords

CARDIO-VASCULAR DISEASE; CHINESE GOVERNMENT; CLASSIFICATION APPROACH; DATA SERVER; HEALTH SYSTEMS; KEY FEATURE; MEDICAL INSURANCE; MEDICAL SERVICES; REMOTE NETWORKS; STATISTICAL LEARNING; WIRELESS DETECTORS;

ARTIFICIAL INTELLIGENCE; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; HOSPITALS; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 77954590216     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13769-3_17     Document Type: Conference Paper

References (14)

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