ArticleJournal of healthcare engineering2018
Real-Time Chest Compression Quality Measurements by Smartphone Camera.
Article in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Trial
- Effectiveness of an Online Body Camera System for Medical Oversight in Prehospital Emergency Care: An 11-Year Retrospective Cohort Study.Archives of academic emergency medicine · 2026Article
- Telemedicine in cardiac arrest protocols: Comparative impact of video and audio dispatcher assistance.World journal of critical care medicine · 2025Article
- Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.JMIR mHealth and uHealth · 2025Article
- Getting ON-TRAC, a team-centred design study of a reflexivity aid to support resuscitation teams' information sharing.Advances in simulation (London, England) · 2025Article
- Release velocity ImprovemenT with a new Metronome guIding chest COmpressions: The RITMICO simulation study.Resuscitation plus · 2025Article
- Feasibility of real-time compression frequency and compression depth assessment in CPR using a "machine-learning" artificial intelligence tool.Resuscitation plus · 2024Article
- State of the art of mobile health technologies use in clinical arrhythmia care.Communications medicine · 2024Review
- Telecoaching Improves Positive Pressure Ventilation Performance During Simulated Neonatal Resuscitations.Telemedicine reports · 2022Article
- Telehealth in emergency medicine: A consensus conference to map the intersection of telehealth and emergency medicine.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Out-of-hospital cardiac arrest (OHCA) is recognized as a global mortality challenge, and digital strategies could contribute to increase the chance of survival. In this paper, we investigate if cardiopulmonary resuscitation (CPR) quality measurement using smartphone video analysis in real-time is feasible for a range of conditions. With the use of a web-connected smartphone application which utilizes the smartphone camera, we detect inactivity and chest compressions and measure chest compression rate with real-time feedback to both the caller who performs chest compressions and over the web to the dispatcher who coaches the caller on chest compressions. The application estimates compression rate with 0.5 s update interval, time to first stable compression rate (TFSCR), active compression time (TC), hands-off time (TWC), average compression rate (ACR), and total number of compressions (NC). Four experiments were performed to test the accuracy of the calculated chest compression rate under different conditions, and a fifth experiment was done to test the accuracy of the CPR summary parameters TFSCR, TC, TWC, ACR, and NC. Average compression rate detection error was 2.7 compressions per minute (±5.0 cpm), the calculated chest compression rate was within ±10 cpm in 98% (±5.5) of the time, and the average error of the summary CPR parameters was 4.5% (±3.6). The results show that real-time chest compression quality measurement by smartphone camera in simulated cardiac arrest is feasible under the conditions tested.
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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.