ReviewFrontiers in digital health2021
Trends in Heart-Rate Variability Signal Analysis.
Review in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of long-term exercise intervention on heart rate variability indices: a systematic meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving.Sensors (Basel, Switzerland) · 2026Article
- Heart rate dynamics and antioxidant capacity under cognitive-emotional load in obsessive-compulsive disorder.BMC psychiatry · 2026Article
- A reproducible benchmark of QRS detection algorithms across diverse ECG datasets and noise conditions.Scientific reports · 2026Article
- Environmental conditions and cardiac autonomic function during an Antarctic summer expedition at James Ross Island.Scientific reports · 2026Article
- Comparative evaluation of feature selection methods for HRV-based survival modeling in HIV-positive ICU patients: a retrospective study.BMC medical informatics and decision making · 2026Article
- HRV-Based Multimodal Physiological Signal Monitoring Using Wearable Biosensors in Human-Computer Interaction: Cognitive Load in Real-Time Strategy Games.Sensors (Basel, Switzerland) · 2026Article
- Baseline vagal tone and pain reactivity: linking autonomic function to endogenous pain inhibition in women.Pain reports · 2026Article
- A refined SMOTE-ENN optimization method based on machine learning for heart rate variability data classification.Frontiers in digital health · 2026Article
- Digital phenotyping for assessment and prediction of interoception, chronic stress, and self-regulation in adults: a scoping review.Frontiers in digital health · 2026Review
- The involvement of attentional biases in endogenous pain inhibition and autonomic reactivity.PloS one · 2026Article
- Integrating Cutting-Edge Technologies in Food Sensory and Consumer Science: Applications and Future Directions.Foods (Basel, Switzerland) · 2025Review
- Equine Asthma in a Comparative Perspective: Cardiovascular and Neurological Manifestations of Asthma Across Different Species.Animals : an open access journal from MDPI · 2025Review
- Article
- A focus on the assessment of the autonomic function using heart rate variability.Global cardiology science & practice · 2025Review
- Quality in Question: Assessing the Accuracy of Four Heart Rate Wearables and the Implications for Psychophysiological Research.Psychophysiology · 2025Article
- Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals.NPJ digital medicine · 2025Article
- Assessment of Heart Rhythm and Arrhythmia Detection from Electromyographic Signals Using a Convolutional Neural Network.Sovremennye tekhnologii v meditsine · 2025Article
- Multimodal physiological monitoring in augmented reality teaching environments for children with neurodevelopmental disorders.Frontiers in human neuroscience · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to modulate the body's unconscious action such as cardiac function, respiration, digestion, blood pressure, urination, and dilation/constriction of the pupil. This review article presents a summary and analysis of various research works that analyzed HRV associated with morbidity, pain, drowsiness, stress and exercise through signal processing and machine learning methods. The points of emphasis with regards to HRV research as well as the gaps associated with processes which can be improved to enhance the quality of the research have been discussed meticulously. Restricting the physiological signals to Electrocardiogram (ECG), Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) analysis resulted in 25 articles which examined the cause and effect of increased/reduced HRV. Reduced HRV was generally associated with increased morbidity and stress. High HRV normally indicated good health, and in some instances, it could signify clinical events of interest such as drowsiness. Effective analysis of HRV during ambulatory and motion situations such as exercise, video gaming, and driving could have a significant impact toward improving social well-being. Detection of HRV in motion is far from perfect, situations involving exercise or driving reported accuracy as high as 85% and as low as 59%. HRV detection in motion can be improved further by harnessing the advancements in machine learning techniques.
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Registered trials
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.