ReviewJMIR mHealth and uHealth2019
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.
Review in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07591935 (Artificial Intelligence and Mindfulness Meditation), which is not on this map. Cited by 71 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Artificial Intelligence and Mindfulness Meditation: Innovative Methods to Reduce Stress Amongst Medical School Students
Who cites it
71 citing papers in PubMed, 3 syntheses or guidelines pooled it, 163 citations in OpenAlex.
- Methods for Heart Rate Variability Biofeedback (HRVB): A Systematic Review and Guidelines.Applied psychophysiology and biofeedback · 2023Pooled it
- Arrhythmias Beyond Atrial Fibrillation Detection Using Smartwatches: A Systematic Review.Anatolian journal of cardiology · 2023Pooled it
- The Quality of Mobile Apps Used for the Identification of Pressure Ulcers in Adults: Systematic Survey and Review of Apps in App Stores.JMIR mHealth and uHealth · 2020Pooled it
- Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.Scientific reports · 2025Trial
- Public perceptions and engagement in mHealth: a European survey on attitudes toward health apps use and data sharing.European journal of public health · 2025Article
- Decreased peak atrial longitudinal strain and left atrial contraction strain rate values may predict atrial fibrillation in patients in sinus rhythm at baseline: a systematic review and meta-analysis.European heart journal open · 2025Review
- MYSTETH-home-based heart monitoring.Frontiers in digital health · 2025Article
- Examining the Light Heart Mobile Device App for Assessing Human Pulse Interval and Heart Rate Variability: Validation Study.JMIR formative research · 2024Article
- Continuous Monitoring of Heart Rate Variability and Respiration for the Remote Diagnosis of Chronic Obstructive Pulmonary Disease: Prospective Observational Study.JMIR mHealth and uHealth · 2024Observational
- Insights from a single centre implementation of a digitally-enabled atrial fibrillation virtual ward.PLOS digital health · 2024Article
- Predicting cardiovascular disease risk using photoplethysmography and deep learning.PLOS global public health · 2024Article
- A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals.IEEE open journal of engineering in medicine and biology · 2024Article
- Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2023Review
- Changes in Autonomic Nervous System Activity in Children With Spina Bifida: A Case-Control Study.International neurourology journal · 2023Article
- Changes in the Circadian Rhythm of High-Frequency Heart Rate Variability Associated With Depression.Journal of Korean medical science · 2023Article
- Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change.Life (Basel, Switzerland) · 2023Article
- One-year outcomes of catheter ablation for atrial fibrillation in young patients.BMC cardiovascular disorders · 2023Article
- A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise.IEEE open journal of engineering in medicine and biology · 2023Article
- Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device.Annals of occupational and environmental medicine · 2023Article
11 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
9 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile phone apps capable of monitoring arrhythmias and heart rate (HR) are increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such as atrial fibrillation (AF). These apps involve either the use of (1) photoplethysmographic recording or (2) a handheld external electrocardiographic recording device attached to the mobile phone or wristband.
objectiveThis review seeks to explore the current state of mobile phone apps in cardiac rhythmology while highlighting shortcomings for further research.
methodsWe conducted a narrative review of the use of mobile phone devices by searching PubMed and EMBASE from their inception to October 2018. Potentially relevant papers were then compared against a checklist for relevance and reviewed independently for inclusion, with focus on 4 allocated topics of (1) mobile phone monitoring, (2) AF, (3) HR, and (4) HR variability (HRV).
resultsThe findings of this narrative review suggest that there is a role for mobile phone apps in the diagnosis, monitoring, and screening for arrhythmias and HR. Photoplethysmography and handheld electrocardiograph recorders are the 2 main techniques adopted in monitoring HR, HRV, and AF.
conclusionsA number of studies have demonstrated high accuracy of a number of different mobile devices for the detection of AF. However, further studies are warranted to validate their use for large scale AF screening.
Indexed as
Identifiers
What OpenQuestion holds
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.