ReviewHerzschrittmachertherapie & Elektrophysiologie2020
[eHealth-smart devices revolutionizing cardiology].
Review in Herzschrittmachertherapie & Elektrophysiologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments.Bioengineering (Basel, Switzerland) · 2026Article
- [Digital competence in rhythmology : Training and education].Herzschrittmachertherapie & Elektrophysiologie · 2024Review
- Cardiac Rhythm Monitoring Using Wearables for Clinical Guidance before and after Catheter Ablation.Journal of clinical medicine · 2022Review
- [Interpretation of photoplethysmography: a step-by-step guide].Herzschrittmachertherapie & Elektrophysiologie · 2021Article
- [Starting cardiac electrophysiology-practical guidance].Herzschrittmachertherapie & Elektrophysiologie · 2020Article
- A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of smart devices such as smartphones and smartwatches in cardiology continues to significantly increase. The widespread use is also promoted by patients and the industry.
objectivesThe goal is to assess different opportunities of smart devices in cardiology. MATERIALS AND
methodsA selected review of the literature was carried out. Scientific and clinical studies regarding possible applications of these devices were evaluated.
resultsThe use of smartphones in Germany is among the highest worldwide. This allows very broad use of this technology in general and in the medical field. There are various potential applications ranging from a reference source over clinical decision support to biosignal sensing. Particularly, the combination of biosignal collection and interpretation by artificial intelligence could lead to a significant improvement of our diagnostic methods and precisely predict the course of various cardiovascular diseases.
conclusionsSmart devices are already increasingly used in daily clinical practice. Due to the numerous technical opportunities, the use of these devices will further spread and, most probably, will transform cardiology.
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.