scholarly journals Psychophysiologic effects of slow‐paced breathing at six cycles per minute with or without heart rate variability biofeedback

2021 ◽  
Author(s):  
Sylvain Laborde ◽  
Mark S. Allen ◽  
Uirassu Borges ◽  
Maša Iskra ◽  
Nina Zammit ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Paced Breathing ◽  
Heart Rate Variability Biofeedback

scholarly journals Biofeedback-Assisted Resilience Training for Traumatic and Operational Stress: Preliminary Analysis of a Self-Delivered Digital Health Methodology

10.2196/12590 ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. e12590 ◽  
Author(s):  
Paul N Kizakevich ◽  
Randall P Eckhoff ◽  
Gregory F Lewis ◽  
Maria I Davila ◽  
Laurel L Hourani ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Relaxation Training ◽  
Streaming Data ◽  
Quality Data ◽  
Psychological Resilience ◽  
Paced Breathing ◽  
Heart Rate Variability Biofeedback ◽  
Resilience Training ◽  
Rate Sensor

Background Psychological resilience is critical to minimize the health effects of traumatic events. Trauma may induce a chronic state of hyperarousal, resulting in problems such as anxiety, insomnia, or posttraumatic stress disorder. Mind-body practices, such as relaxation breathing and mindfulness meditation, help to reduce arousal and may reduce the likelihood of such psychological distress. To better understand resilience-building practices, we are conducting the Biofeedback-Assisted Resilience Training (BART) study to evaluate whether the practice of slow, paced breathing with or without heart rate variability biofeedback can be effectively learned via a smartphone app to enhance psychological resilience. Objective Our objective was to conduct a limited, interim review of user interactions and study data on use of the BART resilience training app and demonstrate analyses of real-time sensor-streaming data. Methods We developed the BART app to provide paced breathing resilience training, with or without heart rate variability biofeedback, via a self-managed 6-week protocol. The app receives streaming data from a Bluetooth-linked heart rate sensor and displays heart rate variability biofeedback to indicate movement between calmer and stressful states. To evaluate the app, a population of military personnel, veterans, and civilian first responders used the app for 6 weeks of resilience training. We analyzed app usage and heart rate variability measures during rest, cognitive stress, and paced breathing. Currently released for the BART research study, the BART app is being used to collect self-reported survey and heart rate sensor data for comparative evaluation of paced breathing relaxation training with and without heart rate variability biofeedback. Results To date, we have analyzed the results of 328 participants who began using the BART app for 6 weeks of stress relaxation training via a self-managed protocol. Of these, 207 (63.1%) followed the app-directed procedures and completed the training regimen. Our review of adherence to protocol and app-calculated heart rate variability measures indicated that the BART app acquired high-quality data for evaluating self-managed stress relaxation training programs. Conclusions The BART app acquired high-quality data for studying changes in psychophysiological stress according to mind-body activity states, including conditions of rest, cognitive stress, and slow, paced breathing.

scholarly journals Biofeedback-Assisted Resilience Training for Traumatic and Operational Stress: Preliminary Analysis of a Self-Delivered Digital Health Methodology (Preprint)

2018 ◽  
Author(s):  
Paul N Kizakevich ◽  
Randall P Eckhoff ◽  
Gregory F Lewis ◽  
Maria I Davila ◽  
Laurel L Hourani ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Relaxation Training ◽  
Streaming Data ◽  
Quality Data ◽  
Psychological Resilience ◽  
Paced Breathing ◽  
Heart Rate Variability Biofeedback ◽  
Resilience Training ◽  
Rate Sensor

BACKGROUND Psychological resilience is critical to minimize the health effects of traumatic events. Trauma may induce a chronic state of hyperarousal, resulting in problems such as anxiety, insomnia, or posttraumatic stress disorder. Mind-body practices, such as relaxation breathing and mindfulness meditation, help to reduce arousal and may reduce the likelihood of such psychological distress. To better understand resilience-building practices, we are conducting the Biofeedback-Assisted Resilience Training (BART) study to evaluate whether the practice of slow, paced breathing with or without heart rate variability biofeedback can be effectively learned via a smartphone app to enhance psychological resilience. OBJECTIVE Our objective was to conduct a limited, interim review of user interactions and study data on use of the BART resilience training app and demonstrate analyses of real-time sensor-streaming data. METHODS We developed the BART app to provide paced breathing resilience training, with or without heart rate variability biofeedback, via a self-managed 6-week protocol. The app receives streaming data from a Bluetooth-linked heart rate sensor and displays heart rate variability biofeedback to indicate movement between calmer and stressful states. To evaluate the app, a population of military personnel, veterans, and civilian first responders used the app for 6 weeks of resilience training. We analyzed app usage and heart rate variability measures during rest, cognitive stress, and paced breathing. Currently released for the BART research study, the BART app is being used to collect self-reported survey and heart rate sensor data for comparative evaluation of paced breathing relaxation training with and without heart rate variability biofeedback. RESULTS To date, we have analyzed the results of 328 participants who began using the BART app for 6 weeks of stress relaxation training via a self-managed protocol. Of these, 207 (63.1%) followed the app-directed procedures and completed the training regimen. Our review of adherence to protocol and app-calculated heart rate variability measures indicated that the BART app acquired high-quality data for evaluating self-managed stress relaxation training programs. CONCLUSIONS The BART app acquired high-quality data for studying changes in psychophysiological stress according to mind-body activity states, including conditions of rest, cognitive stress, and slow, paced breathing.

A preliminary systematic review and meta-analysis on the effects of heart rate variability biofeedback on heart rate variability and respiration of athletes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jeffrey Cayaban Pagaduan ◽  
Yung-Sheng Chen ◽  
James William Fell ◽  
Sam Shi Xuan Wu
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Web Of Science ◽  
Meta Analysis ◽  
Academic Research ◽  
Experimental Studies ◽  
Quantitative Review ◽  
Heart Rate Variability Biofeedback ◽  
Randomized Control

Abstract To date, there is no quantitative review examining the influence of heart rate variability biofeedback (HRV BFB) on the athlete population. Such an undertaking may provide valuable information on the autonomic and respiration responses of athletes when performing HRV BFB. Thus, purpose of this preliminary systematic review and meta-analysis on the effects of HRV BFB on HRV and respiration of athletes. Searches of Springerlink, SportDiscus, Web of Science, PROQUEST Academic Research Library, Google Scholar, and ScienceDirect were conducted for studies that met the following criteria: (1) experimental studies involving athletes that underwent randomized control trial; (2) availability of HRV BFB as a treatment compared with a control (CON)/placebo (PLA); (3) any pre and post HRV variable and/or breathing frequency as dependent variable/s; and, (4) peer-reviewed articles written in English. Four out of 660 studies involving 115 athletes (25 females and 90 males) ages 16–30 years old were assessed in this review. Preliminary findings suggest the promising ability of HRV BFB to improve respiratory mechanics in athlete population. More work is needed to determine the autonomic modulatory effect of HRV BFB in athletes.

Heart Rate Variability Biofeedback in Grandmothers Raising Grandchildren: Effects on Stress, Emotions, and Cognitions

Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 144-149 ◽  
Author(s):  
Jaclene A. Zauszniewski ◽  
Tsay-Yi Au ◽  
Carol M. Musil
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Perceived Stress ◽  
Repeated Measures ◽  
Negative Emotions ◽  
Pilot Trial ◽  
Heart Rate Variability Biofeedback ◽  
Grandmothers Raising Grandchildren ◽  
Depressive Cognitions ◽  
Reducing Stress

Over one million American grandmothers raise grandchildren, and many experience stress that may be alleviated by biofeedback. This pilot trial of 20 grandmothers used a pretest-posttest design with repeated measures to test the effects of heart rate variability (HRV) biofeedback on perceived stress, negative emotions, and depressive cognitions. Significant decreases in stress, negative emotions, and depressive cognitions were found. Biofeedback is thus potentially effective for reducing stress and depressive thoughts and feelings in grandmothers raising grandchildren, and the intervention warrants further testing.

HRV Biofeedback and Addiction: Rehabbing Body, Mind and Spirit

Biofeedback ◽  
2021 ◽  
Vol 49 (1) ◽  
pp. 10-17
Author(s):  
Amy Hudson
Keyword(s):  
Heart Rate ◽  
Chronic Pain ◽  
Heart Rate Variability ◽  
The Body ◽  
Heart Rate Variability Biofeedback ◽  
The Mind

Addiction is a devastating disease of the body, the mind, and even the personality. Recent research shows that heart rate variability biofeedback can help the alcoholic/addict recover in three crucial ways, namely (1) treating the associated comorbidities (depression, anxiety, chronic pain), (2) treating the physiology around craving, and (3) returning to a loving and nurturing relationship with one's own body instead of an abusive and exploitive one.

The Promise of Heart Rate Variability Biofeedback: Evidence-Based Applications

Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 110-120 ◽  
Author(s):  
Richard Gevirtz
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Empirical Evidence ◽  
Point Of View ◽  
Evidence Based ◽  
Multiple Sources ◽  
Heart Rate Variability Biofeedback

Heart rate variability biofeedback has enjoyed increased popularity in recent years. In this review, empirical evidence from multiple sources is presented from the point of view of possible mechanisms of effect. While more research is clearly needed, the data thus far are certainly promising.

scholarly journals A pilot study investigating the relationship between heart rate variability and blood pressure in young adults at risk for cardiovascular disease

2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Linda P. Bolin ◽  
Amelia D. Saul ◽  
Lauren L. Bethune Scroggs ◽  
Carolyn Horne
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pilot Study ◽  
Family History ◽  
Diastolic Blood Pressure ◽  
Biofeedback Training ◽  
Paced Breathing ◽  
History Of

Abstract Background Cardiovascular disease is one of the leading causes of death globally with hypertension being a primary cause of premature death from this disease process. Individuals with a family history of cardiovascular disease and hypertension are at a greater risk for developing the same sequela. Autonomic cardiac control is important in the level of cardiac function. One intervention that is effective in improving cardiovascular function is heart rate variability biofeedback training. The purpose of our study was to determine the effectiveness of heart rate biofeedback training on HRV and blood pressure in individuals with a family history of cardiovascular disease. Methods Thirty-four participants (76.5% female, 22.7 ± 4.3 years) completed a baseline assessment and training using an established short-term HRV protocol followed by two weeks of at-home paced breathing employing a smartphone application. The participants were then reassessed in a biofeedback clinic. Results The participants physiological measures showed a significant increase in means between pre and post intervention of SDNN (t (32) = 2.177, p =.037) and TP, (t (32) = 2.327 p = .026). Correlation noted a medium effect on diastolic blood pressure and high frequency heart rate variability, F, r = .41, n =33, p < .05. A multiple regression with all predictor variables in the model found no significance with diastolic and systolic blood pressure. Conclusions The findings from this pilot study demonstrated that a two-week paced breathing intervention may assist in reducing heart rate and diastolic blood pressure while improving heart rate variability.

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