Personal Wearable Devices to Measure Heart Rate Variability

Author(s):  
Kelvin K.F. Tsoi ◽  
Janet Y.H. Wong ◽  
Michael P.F. Wong ◽  
Gary K.S. Leung ◽  
Baker K.K. Bat ◽  
...  
Folia Medica ◽  
2018 ◽  
Vol 60 (1) ◽  
Author(s):  
Konstantinos Georgiou ◽  
Andreas V. Larentzakis ◽  
Nehal N. Khamis ◽  
Ghadah I. Alsuhaibani ◽  
Yasser A. Alaska ◽  
...  

Biofeedback ◽  
2016 ◽  
Vol 44 (4) ◽  
pp. 229-233 ◽  
Author(s):  
Fredric Shaffer ◽  
Steven Shearman ◽  
Zachary M. Meehan

Researchers have investigated whether ultra-short-term (UST) heart rate variability values can replace traditional 5-minute values in clinical and optimal performance settings. Concurrent validity is the extent to which the results of a measurement correspond to a previously validated assessment of the same construct. Several studies either failed to specify their concurrent validity criteria or used an inappropriate statistical test. The authors proposed a rigorous standard and demonstrated that artifacted resting ultra-short-term heart rate variability values can achieve strong concurrent validity for diverse time-domain, frequency-domain, and nonlinear measurements in healthy undergraduates. Based on these findings, resting baselines as brief as 1 minute should be sufficient to measure heart rate, the standard deviation of the interbeat interval for normal beats (SDNN), and the square root of the mean squared difference of adjacent NN intervals (RMSSD) in clinical, optimal performance, and personal health assessment with individuals who resemble Truman State University undergraduates.


2017 ◽  
Vol 47 (15) ◽  
pp. 2578-2586 ◽  
Author(s):  
V. C. Goessl ◽  
J. E. Curtiss ◽  
S. G. Hofmann

BackgroundSome evidence suggests that heart rate variability (HRV) biofeedback might be an effective way to treat anxiety and stress symptoms. To examine the effect of HRV biofeedback on symptoms of anxiety and stress, we conducted a meta-analysis of studies extracted from PubMed, PsycINFO and the Cochrane Library.MethodsThe search identified 24 studies totaling 484 participants who received HRV biofeedback training for stress and anxiety. We conducted a random-effects meta-analysis.ResultsThe pre-post within-group effect size (Hedges' g) was 0.81. The between-groups analysis comparing biofeedback to a control condition yielded Hedges' g = 0.83. Moderator analyses revealed that treatment efficacy was not moderated by study year, risk of study bias, percentage of females, number of sessions, or presence of an anxiety disorder.ConclusionsHRV biofeedback training is associated with a large reduction in self-reported stress and anxiety. Although more well-controlled studies are needed, this intervention offers a promising approach for treating stress and anxiety with wearable devices.


2021 ◽  
Author(s):  
Minjung Kim ◽  
Jungsook Kim ◽  
Kyounghyun Park ◽  
HyunSuk Kim ◽  
Daesub Yoon

2014 ◽  
Vol 199 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Kuan Hua Khor ◽  
Ian A. Shiels ◽  
Fiona E. Campbell ◽  
Ristan M. Greer ◽  
Annie Rose ◽  
...  

2020 ◽  
Vol 44 (11) ◽  
Author(s):  
Angela A. T. Schuurmans ◽  
Peter de Looff ◽  
Karin S. Nijhof ◽  
Catarina Rosada ◽  
Ron H. J. Scholte ◽  
...  

Abstract Wearable monitoring devices are an innovative way to measure heart rate (HR) and heart rate variability (HRV), however, there is still debate about the validity of these wearables. This study aimed to validate the accuracy and predictive value of the Empatica E4 wristband against the VU University Ambulatory Monitoring System (VU-AMS) in a clinical population of traumatized adolescents in residential care. A sample of 345 recordings of both the Empatica E4 wristband and the VU-AMS was derived from a feasibility study that included fifteen participants. They wore both devices during two experimental testing and twelve intervention sessions. We used correlations, cross-correlations, Mann-Whitney tests, difference factors, Bland-Altman plots, and Limits of Agreement to evaluate differences in outcomes between devices. Significant correlations were found between Empatica E4 and VU-AMS recordings for HR, SDNN, RMSSD, and HF recordings. There was a significant difference between the devices for all parameters but HR, although effect sizes were small for SDNN, LF, and HF. For all parameters but RMSSD, testing outcomes of the two devices led to the same conclusions regarding significance. The Empatica E4 wristband provides a new opportunity to measure HRV in an unobtrusive way. Results of this study indicate the potential of the Empatica E4 as a practical and valid tool for research on HR and HRV under non-movement conditions. While more research needs to be conducted, this study could be considered as a first step to support the use of HRV recordings provided by wearables.


2018 ◽  
Vol 54 (Supplement) ◽  
pp. 1E1-2-1E1-2
Author(s):  
Emi HAYASHI ◽  
Kiyoko YOKOYAMA ◽  
Hisatoshi ITO ◽  
Yuko KAWAHARA

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