An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes

• Main Authors: Janarthanan, Nittiagandhi, Tamura, Toshiyo, Acharya, U. Rajendra, Faust, Oliver, Sree, Subbhuraam Vinitha, Ghista, Dhanjoo N., Dua, Sumeet, Joseph, Paul, Ahamed, V. I. Thajudin
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Science::Medicine::Biomedical engineering
• Online Access: https://hdl.handle.net/10356/98652; http://hdl.handle.net/10220/17841
• Institution: Nanyang Technological University

Electrocardiogram (ECG) signals are difficult to interpret, and clinicians must undertake a long training process to learn to diagnose diabetes from subtle abnormalities in these signals. To facilitate these diagnoses, we have developed a technique based on the heart rate variability signal obtained...