Validity and reliability of different smartphones applications to measure HRV during short and ultra-short measurements in elite athletes

Moya‐Ramón, Manuel; Mateo‐March, Manuel; Peña‐González, Iván; Zabala, Míkel; Javaloyes, Alejandro

doi:10.1016/j.cmpb.2022.106696

Cited by 50 publications

(44 citation statements)

References 27 publications

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“…Of the studies identified, only three studies assessed measurement bias using Bland–Altman plots with LoA followed by Cohen’s d statistic [ 9 ]. Since then, recent studies have followed the recommendations of Shafer et al and Pecchia et al [ 9 , 15 ] to assess the reliability of ultra-short HRV analysis [ 34 , 35 , 36 ]. To our knowledge, there are no studies that have evaluated the reliability of ultra-short-term HRV features using equivalence tests; instead, they have used standard statistical tests of difference.…”

Section: Discussionmentioning

confidence: 99%

“…Due to their practical use, most studies have considered only time-domain features or have added frequency-domain and some nonlinear features. In the time-domain, the main features whose validity was evaluated in ultra-short recordings were the MeanNN, SDNN, RMSSD, and pNN50 [ 34 , 35 , 36 , 38 , 39 , 40 ], tested alone or in combination with other HRV features. In agreement with our results, these studies found that the tested time-domain HRV features provided strong correlations and high agreement with small bias whenever the latter was assessed.…”

Section: Discussionmentioning

confidence: 99%

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Validity of Ultra-Short-Term HRV Analysis Using PPG—A Preliminary Study

Taoum

Bisiaux²,

Tilquin³

et al. 2022

Sensors

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Continuous measurement of heart rate variability (HRV) in the short and ultra-short-term using wearable devices allows monitoring of physiological status and prevention of diseases. This study aims to evaluate the agreement of HRV features between a commercial device (Bora Band, Biosency) measuring photoplethysmography (PPG) and reference electrocardiography (ECG) and to assess the validity of ultra-short-term HRV as a surrogate for short-term HRV features. PPG and ECG recordings were acquired from 5 healthy subjects over 18 nights in total. HRV features include time-domain, frequency-domain, nonlinear, and visibility graph features and are extracted from 5 min 30 s and 1 min 30 s duration PPG recordings. The extracted features are compared with reference features of 5 min 30 s duration ECG recordings using repeated-measures correlation, Bland–Altman plots with 95% limits of agreements, Cliff’s delta, and an equivalence test. Results showed agreement between PPG recordings and ECG reference recordings for 37 out of 48 HRV features in short-term durations. Sixteen of the forty-eight HRV features were valid and retained very strong correlations, negligible to small bias, with statistical equivalence in the ultra-short recordings (1 min 30 s). The current study concludes that the Bora Band provides valid and reliable measurement of HRV features in short and ultra-short duration recordings.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Validity of Ultra-Short-Term HRV Analysis Using PPG—A Preliminary Study

Taoum

Bisiaux²,

Tilquin³

et al. 2022

Sensors

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“…Defining the physiologically normal range is done on an individual basis, using the smallest worthwhile change [100,105] established over a number of days. A number of applications, such as HRV4Training and EliteHRV [106], ithlete [107], and Welltory [108] have been validated for measurement of daily HRV and can be used by athletes to establish baseline levels and assess daily recovery status. Alternative approaches to the smallest worthwhile change have been studied.…”

Section: Hrv-guided Trainingmentioning

confidence: 99%

Practices and Applications of Heart Rate Variability Monitoring in Endurance Athletes

2022

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Heart rate variability reflects fluctuations in the changes in consecutive heartbeats, providing insight into cardiac autonomic function and overall physiological state. Endurance athletes typically demonstrate better cardiac autonomic function than non-athletes, with lower resting heart rates and greater variability. The availability and use of heart rate variability metrics has increased in the broader population and may be particularly useful to endurance athletes. The purpose of this review is to characterize current practices and applications of heart rate variability analysis in endurance athletes. Important considerations for heart rate variability analysis will be discussed, including analysis techniques, monitoring tools, the importance of stationarity of data, body position, timing and duration of the recording window, average heart rate, and sex and age differences. Key factors affecting resting heart rate variability will be discussed, including exercise intensity, duration, modality, overall training load, and lifestyle factors. Training applications will be explored, including heart rate variability-guided training and the identification and monitoring of maladaptive states such as overtraining. Lastly, we will examine some alternative uses of heart rate variability, including during exercise, post-exercise, and for physiological forecasting and predicting performance.

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“…Biomedical sensors present an opportunity to measure athlete's physiologic parameters remotely in a field condition in a continuous, real-time manner [17,21,22]. Mobile and simpleto-use heart rate monitors (HRM) with elastic electrode belts offer the possibility of registering RRi at rest and during exercise, physical training or athletic competitions, providing an opportunity to calculate and analyze HRV parameters from different field conditions and sports disciplines in a large population [4,5,6,9,10,12,13,15,23,24,25,26,27,28,29,30,31,32]. Coaches and sports professionals should use validated tools to distinguish intended (e.g., due to training) from unintended (measurement errors) changes in athletes' physiological parameters.…”

Section: Introductionmentioning

confidence: 99%

“…The agreement between RRi registered using the globally available and most popular Polar H10 elastic chestbelt HRM (Electro OY, Kempele, Finland) [39,40,41] with wrist watches or, more recently, smartphone applications (monitor, signal receiver) and conventional ECG has been addressed in healthy adults at rest [5,6,10,11,12,13,15,24,25,26,27,28,31,42,43,44,45,46,47], during exercises [9,25,27,29,30,31,44,48,49] or under mental stress [50]. Substantially less comparisons have been conducted in athletes [32,51,52,53]. It was shown that artifacts in the RRi data are observed when using HRM during rest and especially exercise conditions [5,10,23,26,27,30,54,55].…”

Section: Introductionmentioning

confidence: 99%

Validity of the Polar H10 for RR intervals acquisition during different conditions for heart rate variability analysis in ski mountaineers

Gąsior

Rosoł

Młyńczak

et al. 2022

Preprint

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Wearable devices enable RR interval (RRi) measurements during various conditions. We aimed to assess the validity of the Polar H10 for RRi acquisition during pre-rest stabilization, rest, sympathetic nervous system activity stimulation and recovery conditions for heart rate variability (HRV) analysis in ski mountaineers. RRi were simultaneously obtained via electrocardiogram and the Polar H10 with V800 wrist-watch among eleven elite athletes in the supine position. Short-term (5-min) and ultra-short-term (1-min) heart rate (HR) and HRV parameters were analyzed. Mean absolute percentage difference between parameters from different devices ranged from 0% to 5.4%. Intraclass correlation and concordance correlations ranged between 0.76 and 1.00. Limits of agreement (LoA) for short-term measures did not exceed the defined maximum acceptable difference (SWC) through all conditions for mean RRi, HR, time-domain and nonlinear indices, and for frequency-domain (fast-Fourier-related) during the rest condition. LoA exceeded the SWC for mean, minimal and maximal HR, time-domain and nonlinear parameters from select 1-minute samples in all conditions. The Polar H10 provides RRi that could be used for short-and ultra-short-term HRV analysis from stable resting conditions in elite ski mountaineers. Ultra-short-term parameters from exercise should be analyzed with caution especially from later minutes of activity.

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Validity and reliability of different smartphones applications to measure HRV during short and ultra-short measurements in elite athletes

Cited by 50 publications

References 27 publications

Validity of Ultra-Short-Term HRV Analysis Using PPG—A Preliminary Study

Validity of Ultra-Short-Term HRV Analysis Using PPG—A Preliminary Study

Practices and Applications of Heart Rate Variability Monitoring in Endurance Athletes

Validity of the Polar H10 for RR intervals acquisition during different conditions for heart rate variability analysis in ski mountaineers

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