ReviewFrontiers in physiology2022
Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context.
Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Wearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review.JMIR mHealth and uHealth · 2026Pooled it
- Remote monitoring technologies for measuring cardiovascular functions in community-dwelling adults: a systematic review.GeroScience · 2023Pooled it
- A Speed-Dependent Assessment of E-Textile-Based Sensor Technology: Validity of the Prevayl Wearable Heart Rate Monitor.Sensors (Basel, Switzerland) · 2026Article
- Roadmap of remote photoplethysmography from heart rate measurement toward clinical translation.NPJ digital medicine · 2026Article
- Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals.PLoS computational biology · 2025Article
- Analyzing the performance of biomedical time-series segmentation with electrophysiology data.Scientific reports · 2025Article
- Heat Stroke Warning System Prototype for Athletes: A Pilot Study.Sensors (Basel, Switzerland) · 2025Article
- Applicability of Machine Learning Algorithms in the Diagnosis of Arrhythmias - How Long Until The Machine Starts Teaching Us?Arquivos brasileiros de cardiologia · 2025Article
- Article
- Heart remodelling affects ECG in rat DOCA/salt model.Physiological research · 2024Article
- Efficacy of Wearable Single-Lead ECG Monitoring during Exercise Stress Testing: A Comparative Study.Sensors (Basel, Switzerland) · 2024Article
- Machine learning workflow for edge computed arrhythmia detection in exploration class missions.NPJ microgravity · 2024Article
- Wearable Technology for Monitoring Electrocardiograms (ECGs) in Adults: A Scoping Review.Sensors (Basel, Switzerland) · 2024Article
- Clinical implication of electrocardiogram change in patients experiencing lung transplantation with end stage lung disease.Frontiers in physiology · 2024Article
- Increased GIRK channel activity prevents arrhythmia in mice with heart failure by enhancing ventricular repolarization.Scientific reports · 2023Article
- Medical Applications of Nonadditive Entropies.Entropy (Basel, Switzerland) · 2023Article
- Associations between electrocardiogram and carotid ultrasound parameters: a healthy chinese group study.Frontiers in physiology · 2022Article
- Sixty years of the Bruce protocol: reappraising the contemporary role of exercise stress testing with electrocardiographic monitoring.Porto biomedical journalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular system and its functions under both physiological and pathophysiological conditions have been studied for centuries. One of the most important steps in the cardiovascular research was the possibility to record cardiac electrical activity. Since then, numerous modifications and improvements have been introduced; however, an electrocardiogram still represents a golden standard in this field. This paper overviews possibilities of ECG recordings in research and clinical practice, deals with advantages and disadvantages of various approaches, and summarizes possibilities of advanced data analysis. Special emphasis is given to state-of-the-art deep learning techniques intensely expanded in a wide range of clinical applications and offering promising prospects in experimental branches. Since, according to the World Health Organization, cardiovascular diseases are the main cause of death worldwide, studying electrical activity of the heart is still of high importance for both experimental and clinical cardiology.
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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.