Detection of Meditation-Induced HRV Dynamics Using Averaging Technique-Based Oversampled Feature Set and Machine Learning Classifiers-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:29576-29590
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Deka Dipen¹^ORCID,Deka Bhabesh²^ORCID

Affiliation:

1. Department of Instrumentation Engineering, Central Institute of Technology (CIT) Kokrajhar, Kokrajhar, India

2. Department of ECE, School of Engineering, Tezpur University, Tezpur, India

Funder

All India Council for Technical Education (AICTE), New Delhi, India, for providing scholarships and opportunity to acquire the Ph.D. degree

Quality Improvement Programme (QIP) Scheme of AICTE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10050865.pdf?arnumber=10050865

Reference58 articles.

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2. An improved multiscale distribution entropy for analyzing complexity of real-world signals

3. Heart rate dynamics in different levels of Zen meditation

4. Race in the News

5. Heart Rate Variability as an Index of Regulated Emotional Responding

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