Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine

• Published in: Biocybernetics and biomedical engineering Vol. 40; no. 3; pp. 1002 - 1009
• Main Authors: Aggarwal, Yogender, Das, Joyani, Mazumder, Papiya Mitra, Kumar, Rohit, Sinha, Rakesh Kumar
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2020
• Subjects: Advanced Basic Science; Artificial neural network; Diabetes; Electrocardiogram; Heart rate variability; Internal Medicine; Support vector machine; Artificial neural network; Diabetes; Support vector machine; Heart rate variability; Electrocardiogram
• ISSN: 0208-5216
• DOI: 10.1016/j.bbe.2020.05.001

Diabetes mellitus (DM) is a multifactorial disease characterized by hyperglycemia. The type 1 and type 2 DM are two different conditions with insulin deficiency and insulin resistance, respectively. It may cause atherosclerosis, stroke, myocardial infarction and other relevant complications. It also...