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Updated: Mar 16, 2026
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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
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Chest compression rate measurement from smartphone video.
Kjersti Engan1, Thomas Hinna2,3, Tom Ryen2
1Department of Electrical and Computer Engineering, University of Stavanger, Stavanger, Norway. kjersti.engan@uis.no.
Biomedical Engineering Online
|August 13, 2016
Summary
This study introduces a smartphone app that uses video to estimate cardiopulmonary resuscitation (CPR) compression rates in real-time. The technology shows promise for improving bystander CPR quality during emergencies.
Area of Science:
- Biomedical Engineering
- Computer Vision
- Emergency Medicine
Background:
- Out-of-hospital cardiac arrest requires immediate cardiopulmonary resuscitation (CPR) by bystanders.
- Existing emergency apps lack real-time CPR quality feedback.
- Smartphone cameras offer potential for CPR assessment.
Purpose of the Study:
- To develop and evaluate a smartphone-based system for real-time estimation of CPR compression rate.
- To enhance bystander CPR effectiveness through immediate feedback.
Main Methods:
- Real-time video analysis using a smartphone camera.
- Algorithm employing dynamic region of interest and Fast Fourier Transform (FFT) for frequency analysis.
- Testing on a manikin across various scenarios including different hair types, lighting, and ventilation.
Main Results:
- The algorithm demonstrated promising accuracy in estimating CPR compression rates.
- Mean error rates were 3.6 (0.8) cpm for short hair and 8.7 (6.0) cpm for medium/long hair at 110 cpm target.
- The system showed resilience to various disturbances and lighting conditions.
Conclusions:
- Smartphone video analysis is a feasible method for real-time detection of bystander CPR compression rates.
- This technology can be integrated into emergency apps to guide bystanders.
- Further development could improve accuracy across diverse bystander characteristics.
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