ArticleJMIR mHealth and uHealth2020
A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- History of concussion and lowered heart rate variability at rest beyond symptom recovery: a systematic review and meta-analysis.Frontiers in neurology · 2023Pooled it
- Comparable Physiological Stress Responses following Music Listening and Quiet Reading: An exploratory pilot study.International journal of stress management · 2026Article
- Differential Effects of Sleep Respiratory Event Types on Heart Rate Variability: Central Apnea as the Most Significant.Diagnostics (Basel, Switzerland) · 2026Article
- Consumer-Grade Wearable Sensors for Classifying Pilot Workload and Stress During Real Flight Training: A Leave-One-Subject-Out Validation Study.Sensors (Basel, Switzerland) · 2026Article
- Validation of the ultra short term heart rate variability measures under changing psychophysiological state of the healthy participants at rest.Scientific reports · 2026Article
- Monitoring Training Adaptation and Recovery Status in Athletes Using Heart Rate Variability via Mobile Devices: A Narrative Review.Sensors (Basel, Switzerland) · 2025Review
- Reliability and reactivity of heart rate variability and pupillometry in response to controlled autonomic perturbations in university students.Behavior research methods · 2025Article
- Heart Rate Variability and Autonomic Dysfunction After Stroke: Prognostic Markers for Recovery.Biomedicines · 2025Review
- Deep learning-based stress detection from RR intervals in major depressive disorder, panic disorder, and healthy individuals.Frontiers in psychiatry · 2025Article
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- Acute Effects of Fatigue on Cardiac Autonomic Nervous Activity.Journal of sports science & medicine · 2023Article
- A longitudinal study of interoception changes in the times of COVID-19: Effects on psychophysiological health and well-being.Heliyon · 2023Article
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- Determination of Waste Management Workers' Physical and Psychological Load: A Cross-Sectional Study Using Biometric Data.International journal of environmental research and public health · 2022Article
- Validity of Ultra-Short-Term HRV Analysis Using PPG-A Preliminary Study.Sensors (Basel, Switzerland) · 2022Article
- Different acquisition systems for heart rate variability analysis may lead to diverse outcomes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022Article
- Psychological Effects of Heart Rate and Physical Vibration on the Operation of Construction Machines: Experimental Study.JMIR mHealth and uHealth · 2021Article
- Heart Rate Variability Changes in Patients With Major Depressive Disorder: Related to Confounding Factors, Not to Symptom Severity?Frontiers in neuroscience · 2021Article
- Auricular Neuromodulation for Mass Vagus Nerve Stimulation: Insights From SOS COVID-19 a Multicentric, Randomized, Controlled, Double-Blind French Pilot Study.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmartphone apps for heart rate variability (HRV) measurement have been extensively developed in the last decade. However, ultra-short-term HRV recordings taken by wearable devices have not been examined.
objectiveThe aims of this study were the following: (1) to compare the validity and reliability of ultra-short-term and short-term HRV time-domain and frequency-domain variables in a novel smartphone app, Pulse Express Pro (PEP), and (2) to determine the agreement of HRV assessments between an electrocardiogram (ECG) and PEP.
methodsIn total, 60 healthy adults were recruited to participate in this study (mean age 22.3 years [SD 3.0 years], mean height 168.4 cm [SD 8.0 cm], mean body weight 64.2 kg [SD 11.5 kg]). A 5-minute resting HRV measurement was recorded via ECG and PEP in a sitting position. Standard deviation of normal R-R interval (SDNN), root mean square of successive R-R interval (RMSSD), proportion of NN50 divided by the total number of RR intervals (pNN50), normalized very-low-frequency power (nVLF), normalized low-frequency power (nLF), and normalized high-frequency power (nHF) were analyzed within 9 time segments of HRV recordings: 0-1 minute, 1-2 minutes, 2-3 minutes, 3-4 minutes, 4-5 minutes, 0-2 minutes, 0-3 minutes, 0-4 minutes, and 0-5 minutes (standard). Standardized differences (ES), intraclass correlation coefficients (ICC), and the Spearman product-moment correlation were used to compare the validity and reliability of each time segment to the standard measurement (0-5 minutes). Limits of agreement were assessed by using Bland-Altman plot analysis.
resultsCompared to standard measures in both ECG and PEP, pNN50, SDNN, and RMSSD variables showed trivial ES (<0.2) and very large to nearly perfect ICC and Spearman correlation coefficient values in all time segments (>0.8). The nVLF, nLF, and nHF demonstrated a variation of ES (from trivial to small effects, 0.01-0.40), ICC (from moderate to nearly perfect, 0.39-0.96), and Spearman correlation coefficient values (from moderate to nearly perfect, 0.40-0.96). Furthermore, the Bland-Altman plots showed relatively narrow values of mean difference between the ECG and PEP after consecutive 1-minute recordings for SDNN, RMSSD, and pNN50. Acceptable limits of agreement were found after consecutive 3-minute recordings for nLF and nHF.
conclusionsUsing the PEP app to facilitate a 1-minute ultra-short-term recording is suggested for time-domain HRV indices (SDNN, RMSSD, and pNN50) to interpret autonomic functions during stabilization. When using frequency-domain HRV indices (nLF and nHF) via the PEP app, a recording of at least 3 minutes is needed for accurate measurement.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.