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A comprehensive evaluation of linear and non-linear HRV parameters between paced breathing and stressful mental state.

作者信息

Chand Kulbhushan, Chandra Shilpa, Dutt Varun

机构信息

IIT Mandi iHub and HCi Foundation, Indian Institute of Technology Mandi, Kamand, HP, India , 175005.

Indian Institute of Technology Mandi, Kamand, HP, India , 175005.

出版信息

Heliyon. 2024 May 31;10(11):e32195. doi: 10.1016/j.heliyon.2024.e32195. eCollection 2024 Jun 15.


DOI:10.1016/j.heliyon.2024.e32195
PMID:38873683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11170182/
Abstract

BACKGROUND: Heart rate variability (HRV) is a crucial metric that provides valuable insight into the balance between relaxation and stress. Previous research has shown that most HRV parameters improve during periods of mental relaxation, while decreasing during tasks involving cognitive workload. Although a comprehensive analysis of both linear and non-linear HRV parameters has been carried out in existing literature, there still exists a need for further research in this area. Additionally, limited knowledge exists regarding how specific interventions may influence the interpretation of these parameters and how the different parameters correlate under different interventions. This study aims to address these gaps by conducting a thorough comparison of different linear and non-linear HRV parameters under mentally relaxed versus stressful states. METHODOLOGY: Participants were randomly and equally divided among two between-subjects groups: relaxed-stress (RS) (N = 22) and stress-relaxed (SR) (N = 22). In the RS group, a paced breathing task was given for 5 min to create relaxation, and was followed by a 5-min time-based mental calculation task to create stress. In the SR group, the order of the stress and relaxed tasks was reversed. There was a washout period of 15 min after the first task in both groups. RESULTS: Of the 37 HRV parameters, 33 differed significantly between the two interventions. The majority of the parameters exhibited an improving and degrading tendency of HRV parameters in the relaxed and stressed states, respectively. The correlation of the majority of HRV parameters decreases during stress, while prominent time domain and geometric domain parameters stand out in the correlation. CONCLUSION: Overall, HRV parameters can be reliably used to assess a person's relaxed and stressed mental states during paced breathing and mental arithmetic task respectively. Furthermore, non-linear HRV parameters provide accurate estimators of the mental state, in addition to the commonly used linear parameters.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/f2609e200984/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/8bb3abaee13d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/e39d450f09e7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/5b2a33aebdf9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/f2609e200984/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/8bb3abaee13d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/e39d450f09e7/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/5b2a33aebdf9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb4/11170182/f2609e200984/gr4.jpg

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A comprehensive evaluation of linear and non-linear HRV parameters between paced breathing and stressful mental state.

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本文引用的文献

[1]
Heart's tale of trauma: Fear-conditioned heart rate changes in post-traumatic stress disorder.

Acta Psychiatr Scand. 2023-11

[2]
Heart rate variability (HRV) changes and cortical volume changes in a randomized trial of five weeks of daily HRV biofeedback in younger and older adults.

Int J Psychophysiol. 2022-11

[3]
Functional interplay between central and autonomic nervous systems in human fear conditioning.

Trends Neurosci. 2022-7

[4]
A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases.

IEEE Rev Biomed Eng. 2022

[5]
Heart Rate Variability and Exceptional Longevity.

Front Physiol. 2020-9-17

[6]
Heart rate variability features for different stress classification.

Bratisl Lek Listy. 2020

[7]
Mental Workload Alters Heart Rate Variability, Lowering Non-linear Dynamics.

Front Physiol. 2019-5-14

[8]
Pitfalls of assessment of autonomic function by heart rate variability.

J Physiol Anthropol. 2019-3-13

[9]
Heart-rate variability: a biomarker to study the influence of nutrition on physiological and psychological health?

Behav Pharmacol. 2018-4

[10]
Comparison between Electrocardiographic and Earlobe Pulse Photoplethysmographic Detection for Evaluating Heart Rate Variability in Healthy Subjects in Short- and Long-Term Recordings.

Sensors (Basel). 2018-3-13

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