title: An ANN-based HRV classifier for cardiac health prognosis.
abstract: A multi-layer artificial neural network (ANN)-based heart rate variability (HRV) classifier has been proposed, which gives the cardiac health status as the output based on HRV of the patients independently of the cardiologists' view. The electrocardiogram (ECG) data of 46 patients were recorded in the out-patient department (OPD) of a hospital and HRV was evaluated using self-designed autoregressive-model-based technique. These patients suspected to be suffering from cardiac abnormalities were thoroughly examined by experienced cardiologists. On the basis of symptoms and other investigations, the attending cardiologists advised them to be classified into four categories as per the severity of cardiac health. Out of 46, the HRV data of 28 patients were used for training and data of 18 patients were used for testing of the proposed classifier. The cardiac health classification of each tested patient with the proposed classifier matches with the medical opinion of the cardiologists.
authors.affiliation: Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee (Uttaranchal), 247667, India.
authors.forename: Ramesh Kumar
authors.initials: RK
authors.lastname: Sunkaria
authors.affiliation: Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee (Uttaranchal), 247667, India.
authors.forename: Vinod
authors.initials: V
authors.lastname: Kumar
authors.affiliation: Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee (Uttaranchal), 247667, India.
authors.forename: Suresh Chandra
authors.initials: SC
authors.lastname: Saxena
authors.affiliation: Department of Cardiology, Himalayan Institute & Hospital Trust, Dehradun (Uttaranchal), 248140, India.
authors.forename: Achala M
authors.initials: AM
authors.lastname: Singhal
mesh_terms: D000328:Adult; D000368:Aged; D004562:Electrocardiography; D005260:Female; D006331:Heart Diseases / Q000145:classification* / Q000503:physiopathology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D012720:Severity of Illness Index; D012815:Signal Processing, Computer-Assisted
keywords: ANNs; ECG; HRV classifier; artificial neural networks; autonomic activity; autoregressive modelling; cardiac health prognosis; electrocardiograms; electronic healthcare; e–healthcare; heart rate variability; outpatients