Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals

Knowledge-Based Systems

Volumn 82, Issue , 2015, Pages 1-10

  Patidar, Shivnarayan ^a   Pachori, Ram Bilas ^a   Rajendra Acharya, U ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY INDORE   (India)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

Author keywords

Centered correntropy; Classification; Coronary artery disease; Heart rate signals; Least squares support vector machine; Tunable Q wavelet transform

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DECISION SUPPORT SYSTEMS; DISEASES; ELECTROCARDIOGRAPHY; HEART; MUSCLE; OXYGEN SUPPLY; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; CORONARY ARTERY DISEASE; CORRELATION COEFFICIENT; CORRENTROPY; HEART RATE SIGNAL; LEAST SQUARES SUPPORT VECTOR MACHINES; REGULARIZATION PARAMETERS; SUDDEN CARDIAC DEATHS;

BIOMEDICAL SIGNAL PROCESSING;

EID: 84928086715     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.02.011     Document Type: Article

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