ArticleJournal of sports science & medicine2022
RMSSD Is More Sensitive to Artifacts Than Frequency-Domain Parameters: Implication in Athletes' Monitoring.
Article in Journal of sports science & medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 43 citations in OpenAlex.
- Enhancing Physiological Complexity Through Mindfulness: A Wearable-Based Intervention for First Responders and Their Partners.Healthcare (Basel, Switzerland) · 2026Article
- Heart Rate Variability and Perceived Recovery as Predictors of Performance in Athletes Competing in Sprint Events.Sensors (Basel, Switzerland) · 2026Article
- Threshold-based artefact correction methods influence heart rate variability measurements in individuals with type 2 diabetes mellitus.Scientific reports · 2026Observational
- Heart-Brain Temporal Coupling as a Candidate Biomarker of Self-Congruency.Biomedicines · 2026Article
- Perceived sleep disturbance in healthy women with a history of childhood emotional abuse is not reflected in objective sleep measures or nocturnal heart rate variability.Frontiers in psychiatry · 2026Article
- Association of body mass index and visceral fat with heart rate variability in university students: a BMI-stratified analysis.Frontiers in physiology · 2026Article
- Cutting weight, gaining stress: the hidden battle that outweighs fight day tension in kickboxing.Frontiers in psychology · 2026Article
- Article
- A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries.Scientific data · 2025Article
- Short-Term Effects of Visceral Manual Therapy on Autonomic Nervous System Modulation in Individuals with Clinically Based Bruxism: A Randomized Controlled Trial.Dentistry journal · 2025Article
- Physiological responses to videoconferencing exposure in individuals with social anxiety: an iPPG-based HRV analysis.Acta neuropsychiatrica · 2025Article
- Heart Rate Variability as a Marker of Disease Severity in Pulmonary Arterial Hypertension: A Prospective Cohort Study.Pulmonary circulation · 2025Article
- Detrended fluctuation analysis to determine physiologic thresholds, investigation and evidence from incremental cycling test.European journal of applied physiology · 2025Article
- Tongue Muscle Training App for Middle-Aged and Older Adults Incorporating Flow-Based Gameplay: Design and Feasibility Pilot Study.JMIR serious games · 2025Article
- Are Wearable Photoplethysmogram-Based Heart Rate Variability Measures Equivalent to Electrocardiogram? A Simulation Study.Sports medicine (Auckland, N.Z.) · 2024Article
- Feasibility of Early Assessment for Psychological Distress: HRV-Based Evaluation Using IR-UWB Radar.Sensors (Basel, Switzerland) · 2024Article
- Effects of Vibroacoustic Stimulation on Psychological, Physiological, and Cognitive Stress.Sensors (Basel, Switzerland) · 2024Article
- Associations of luteal phase changes in vagally mediated heart rate variability with premenstrual emotional changes.BMC women's health · 2024Observational
- Article
- Accuracy and clinical utility of heart rate variability derived from a wearable heart rate monitor in patients undergoing major abdominal surgery.Journal of clinical monitoring and computing · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Easy-to-use and accurate heart rate variability (HRV) assessments are essential in athletes' follow-up, but artifacts may lead to erroneous analysis. Artifact detection and correction are the purpose of extensive literature and implemented in dedicated analysis programs. However, the effects of number and/or magnitude of artifacts on various time- or frequency-domain parameters remain unclear. The purpose of this study was to assess the effects of artifacts on HRV parameters. Root mean square of the successive differences (RMSSD), standard deviation of the normal to normal inter beat intervals (SDNN), power in the low- (LF) and high-frequency band (HF) were computed from two 4-min RR recordings in 178 participants in both supine and standing positions, respectively. RRs were modified by (1) randomly adding or subtracting 10, 30, 50 or 100 ms to the successive RRs; (2) a single artifact was manually inserted; (3) artifacts were automatically corrected from signal naturally containing artifacts. Finally, RR recordings were analyzed before and after automatic detection-correction of artifacts. Modifying each RR by 10, 30, 50 and 100 ms randomly did not significantly change HRV parameters (range -6%, +6%, supine). In contrast, by adding a single artifact, RMSSD increased by 413% and 269%, SDNN by 54% and 47% in supine and standing positions, respectively. LF and HF changed only between -3% and +8% (supine and standing) in the artifact condition. When more than 0.9% of the signal contained artifacts, RMSSD was significantly biased, whilst when more than 1.4% of the signal contained artifacts LF and HF were significantly biased. RMSSD and SDNN were more sensitive to a single artifact than LF and HF. This indicates that, when using RMSSD only, a single artifact may induce erroneous interpretation of HRV. Therefore, we recommend using both time- and frequency-domain parameters to minimize the errors in the diagnoses of health status or fatigue in athletes.
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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.