Machine Learning Approach to Study the Impact of Obesity on Autonomic Nervous System using Heart Rate Variability Features

• Published in: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) pp. 1 - 4
• Main Authors: Rathod, SR, Chaskar, UM, Patil, CY
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.03.2021
• Subjects: Autonomic nervous system; Autonomic nervous system (ANS); Cardiovascular disease (CVD); Heart rate variability (HRV); Instruments; Machine learning; Machine Learning (ML); Machine learning algorithms; Obesity; Statistical analysis; Synthetic minority oversampling technique (SMOTE)

Obese people have high chances of cardiovascular disease (CVD), which is supposed to be due to the alteration in autonomic nervous system (ANS) activity. The changes in ANS activity can be identified using heart rate variability (HRV). HRV is a non-invasive tool to measure the ANS activity using lin...