scholarly journals Rehabilitation program combining physical exercise and heart rate variability biofeedback in hematologic patients: a feasibility study

Author(s):  
Claire Fournié ◽  
Chantal Verkindt ◽  
Georges Dalleau ◽  
Nicolas Bouscaren ◽  
Catherine Mohr ◽  
...  

Abstract Purpose Hematologic patients have a poorer health-related quality of life due to the disease and its treatments. Non-pharmacological interventions represent an opportunity in tertiary cancer prevention to manage persistent symptoms and support patients in their return to active daily living. This interventional study aimed to evaluate the feasibility of a program combining physical exercise (PE) and heart rate variability biofeedback (HRVB) in hematologic patients. Method Hematologic patients in remission within 6 months participated in a 12-week rehabilitation program including 24 supervised sessions of PE associated with 10 supervised sessions of HRVB and daily home-based practice of paced breathing. We assessed patient adherence, fatigue, physical function, and heart rate variability. Results Twenty patients were included, 17 completed the protocol and 3 dropped out due to disease progression or time constraints; no adverse events or incidents were reported. Participation rates were 85% for PE and 98% for HRVB-supervised sessions. Significant improvements of physical capacity (6-min walk test, p < 0.001; 50-foot walk test, p < 0.001), muscle strength (grip force test, p < 0.01), and flexibility (toe-touch test, p < 0.001; back scratch test, p < 0.05) were measured. Coherence ratio (p < 0.001) and low-frequency spectral density of HRV signal (p < 0.003) increased significantly, suggesting improved autonomic function. Fatigue, static balance, and other time and frequency indicators of HRV were not improved (all p > 0.05). Conclusion A rehabilitation program combining PE and HRVB is feasible in hematologic patients and effective on physical function. Further research with a larger sample size is needed to investigate effectiveness on patients’ autonomic functions and their impacts on symptomatology.

Circulation ◽  
1995 ◽  
Vol 92 (12) ◽  
pp. 3415-3423 ◽  
Author(s):  
Ype S. Tuininga ◽  
Harry J.G.M. Crijns ◽  
Jan Brouwer ◽  
Maarten P. van den Berg ◽  
Arie J. Man in’t Veld ◽  
...  

Author(s):  
Jeffrey Cayaban Pagaduan ◽  
Yung-Sheng Chen ◽  
James William Fell ◽  
Sam Shi Xuan Wu

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.


Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 144-149 ◽  
Author(s):  
Jaclene A. Zauszniewski ◽  
Tsay-Yi Au ◽  
Carol M. Musil

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.


Biofeedback ◽  
2021 ◽  
Vol 49 (1) ◽  
pp. 10-17
Author(s):  
Amy Hudson

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.


Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 110-120 ◽  
Author(s):  
Richard Gevirtz

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.


2016 ◽  
Vol 30 (1) ◽  
pp. 79-84 ◽  
Author(s):  
R. E. Carpenter ◽  
S. J. Emery ◽  
O. Uzun ◽  
D. Rassi ◽  
M. J. Lewis

2021 ◽  
Vol 12 (1) ◽  
pp. 89-102
Author(s):  
Bjørn-Jostein Singstad ◽  
Naomi Azulay ◽  
Andreas Bjurstedt ◽  
Simen S. Bjørndal ◽  
Magnus F. Drageseth ◽  
...  

Abstract Due to the possibilities in miniaturization and wearability, photoplethysmography (PPG) has recently gained a large interest not only for heart rate measurement, but also for estimating heart rate variability, which is derived from ECG by convention. The agreement between PPG and ECG-based HRV has been assessed in several studies, but the feasibility of PPG-based HRV estimation is still largely unknown for many conditions. In this study, we assess the feasibility of HRV estimation based on finger PPG during rest, mild physical exercise and mild mental stress. In addition, we compare different variants of signal processing methods including selection of fiducial point and outlier correction. Based on five minutes synchronous recordings of PPG and ECG from 15 healthy participants during each of these three conditions, the PPG-based HRV estimation was assessed for the SDNN and RMSSD parameters, calculated based on two different fiducial points (foot point and maximum slope), with and without outlier correction. The results show that HRV estimation based on finger PPG is feasible during rest and mild mental stress, but can give large errors during mild physical exercise. A good estimation is very dependent on outlier correction and fiducial point selection, and SDNN seems to be a more robust parameter compared to RMSSD for PPG-based HRV estimation.


10.2196/13757 ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. e13757 ◽  
Author(s):  
Sarah Anne Graham ◽  
Dilip V Jeste ◽  
Ellen E Lee ◽  
Tsung-Chin Wu ◽  
Xin Tu ◽  
...  

Background Heart rate variability (HRV), or variation in beat-to-beat intervals of the heart, is a quantitative measure of autonomic regulation of the cardiovascular system. Low HRV derived from electrocardiogram (ECG) recordings is reported to be related to physical frailty in older adults. Recent advances in wearable technology offer opportunities to more easily integrate monitoring of HRV into regular clinical geriatric health assessments. However, signals obtained from ECG versus wearable photoplethysmography (PPG) devices are different, and a critical first step preceding their widespread use is to determine whether HRV metrics derived from PPG devices also relate to older adults’ physical function. Objective This study aimed to investigate associations between HRV measured with a wrist-worn PPG device, the Empatica E4 sensor, and validated clinical measures of both objective and self-reported physical function in a cohort of older adults living independently within a continuing care senior housing community. Our primary hypothesis was that lower HRV would be associated with lower physical function. In addition, we expected that HRV would explain a significant proportion of variance in measures of physical health status. Methods We evaluated 77 participants from an ongoing study of older adults aged between 65 and 95 years. The assessments encompassed a thorough examination of domains typically included in a geriatric health evaluation. We collected HRV data with the Empatica E4 device and examined bivariate correlations between HRV quantified with the triangular index (HRV TI) and 3 widely used and validated measures of physical functioning—the Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), and Medical Outcomes Study Short Form 36 (SF-36) physical composite scores. We further investigated the additional predictive power of HRV TI on physical health status, as characterized by SF-36 physical composite scores and Cumulative Illness Rating Scale for Geriatrics (CIRS-G) scores, using generalized estimating equation regression analyses with backward elimination. Results We observed significant associations of HRV TI with SPPB (n=52; Spearman ρ=0.41; P=.003), TUG (n=51; ρ=−0.40; P=.004), SF-36 physical composite scores (n=49; ρ=0.37; P=.009), and CIRS-G scores (n=52, ρ=−0.43; P=.001). In addition, the HRV TI explained a significant proportion of variance in SF-36 physical composite scores (R2=0.28 vs 0.11 without HRV) and CIRS-G scores (R2=0.33 vs 0.17 without HRV). Conclusions The HRV TI measured with a relatively novel wrist-worn PPG device was related to both objective (SPPB and TUG) and self-reported (SF-36 physical composite) measures of physical function. In addition, the HRV TI explained additional variance in self-reported physical function and cumulative illness severity beyond traditionally measured aspects of physical health. Future steps include longitudinal tracking of changes in both HRV and physical function, which will add important insights regarding the predictive value of HRV as a biomarker of physical health in older adults.


Sign in / Sign up

Export Citation Format

Share Document