Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers

Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers

In this paper, we propose a textural information-based analysis of scalogram image obtained from continuous wavelet transform of heart rate variability (HRV) signal to study its dynamics during meditation. In addition to features from scalogram image, visibility graph-based complexity measures and m...

Full description

Bibliographic Details
Main Authors: Dipen Deka, Bhabesh Deka
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Heart rate variability
meditation
scalogram
visibility graph
entropy
classification
Online Access:https://ieeexplore.ieee.org/document/10050865/

Internet

https://ieeexplore.ieee.org/document/10050865/

Similar Items