Correction to: Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysis

Lehrer, Paul M.; Kaur, Karenjot; Sharma, Agratta; Shah, Khushbu; Huseby, Robert; Bhavsar, Jay; Sgobba, Phillip; Zhang, Yingting

doi:10.1007/s10484-021-09526-y

Cited by 4 publications

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“…Heart rate variability refers to the temporal variation of beat‐to‐beat intervals between heartbeats 24 . A growing body of literature suggests that organized variability in the heart rate pattern is a reasonable index of physical and emotional health 25,26 . HRV is a commonly used method for assessing the balance between the sympathetic and parasympathetic parts of the ANS 24 .…”

Section: Objectivesmentioning

confidence: 99%

“…24 A growing body of literature suggests that organized variability in the heart rate pattern is a reasonable index of physical and emotional health. 25,26 HRV is a commonly used method for assessing the balance between the sympathetic and parasympathetic parts of the ANS. 24 Increased sympathetic nervous system activity is associated with "fight-or-flight" and decreased HRV.…”

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confidence: 99%

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To what degree patient‐reported symptoms of central sensitization, kinesiophobia, disability, sleep, and life quality associated with 24‐h heart rate variability and actigraphy measurements?

Mikkonen,

Kupari,

Tarvainen

et al. 2023

Pain Practice

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ObjectivesChronic musculoskeletal pain is associated with decreased parasympathetic and increased sympathetic activity in the autonomic nervous system. The objective of this study was to determine the associations between objective measures of heart rate variability (a measure of autonomic nervous system function), actigraphy (a measure of activity and sleep quality), respiration rates, and subjective patient‐reported outcome measures (PROMs) of central sensitization, kinesiophobia, disability, the effect of pain on sleep, and life quality.MethodsThirty‐eight study subjects were divided into two subgroups, including low symptoms of central sensitization (n = 18) and high symptoms of central sensitization (n = 20), based on patient‐reported scores on the Central Sensitization Inventory (CSI). Heart rate variability (HRV) and actigraphy measurements were carried out simultaneously in 24 h measurement during wakefulness and sleep.ResultsA decrease in HRV during the first 2 h of sleep was stronger in the low CSI subgroup compared to the high CSI subgroup. Otherwise, all other HRV and actigraphy parameters and subjective measures of central sensitization, disability, kinesiophobia, the effect of pain on sleep, and quality of life showed only little associations.DiscussionThe high CSI subgroup reported significantly more severe symptoms of disability, kinesiophobia, sleep, and quality of life compared to the low CSI subgroup. However, there were only small and nonsignificant trend in increased sympathetic nervous system activity and poorer sleep quality on the high central sensitization subgroup. Moreover, very little differences in respiratory rates were found between the groups.

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Section: Objectivesmentioning

confidence: 99%

mentioning

confidence: 99%

To what degree patient‐reported symptoms of central sensitization, kinesiophobia, disability, sleep, and life quality associated with 24‐h heart rate variability and actigraphy measurements?

Mikkonen,

Kupari,

Tarvainen

et al. 2023

Pain Practice

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show abstract

“…Specifically, HR is a direct metric of how healthy the cardiovascular system is, hence, measuring and estimating HR is crucial in many aspects, including public health oversight, sleep monitoring, and control of exercise intensity. Because HR fluctuates substantially with psychological aspects, it is widely used in lie detection, sleep monitoring, fatigue driving, and so on [ 1 , 2 , 3 ]. In general, we estimate HR by electrocardiography (ECG) in the clinic, which is measured by sensors that capture weak electrical activity generated by the cardiac cycle when the heart beats.…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Estimation from Incomplete Electrocardiography Signals

Song

Chen

Zhang

2023

Sensors

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As one of the most remarkable indicators of physiological health, heart rate (HR) has become an unfailing investigation for researchers. Unlike many existing methods, this article proposes an approach to implement short-time HR estimation from electrocardiography in time series missing patterns. Benefiting from the rapid development of deep learning, we adopted a bidirectional long short-term memory model (Bi-LSTM) and temporal convolution network (TCN) to recover complete heartbeat signals from those with durations are less than one cardiac cycle, and the estimated HR from recovered segment combining the input and the predicted output. We also compared the performance of Bi-LSTM and TCN in PhysioNet dataset. Validating the method over a resting heart rate range of 60–120 bpm in the database without significant arrhythmias and a corresponding range of 30–150 bpm in the database with arrhythmias, we found that networks provide an estimated approach for incomplete signals in a fixed format. These results are consistent with real heartbeats in the normal heartbeat dataset (γ > 0.7, RMSE < 10) and in the arrhythmia database (γ > 0.6, RMSE < 30), verifying that HR could be estimated by models in advance. We also discussed the short-time limits for the predictive model. It could be used for physiological purposes such as mobile sensing in time-constrained scenarios, and providing useful insights for better time series analyses in missing data patterns.

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Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus

Wu,

Su,

Lin

et al. 2024

Appl Psychophysiol Biofeedback

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Correction to: Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysis

Abstract: should be included as the seventh author of the article.The original article has been corrected.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Cited by 4 publications

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To what degree patient‐reported symptoms of central sensitization, kinesiophobia, disability, sleep, and life quality associated with 24‐h heart rate variability and actigraphy measurements?

To what degree patient‐reported symptoms of central sensitization, kinesiophobia, disability, sleep, and life quality associated with 24‐h heart rate variability and actigraphy measurements?

Heart Rate Estimation from Incomplete Electrocardiography Signals

Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus

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