Abstract 316: A Novel Video-Based Motion Analysis System to Evaluate Performance of Cardiopulmonary Resuscitation in Ambulance Transport
Objectives: Various devices, either expensive or inconvenient, were developed to monitor the quality of CPR, which is crucial to survival for cardiac arrest. CPR performance en route of ambulance transport was hard to be measured and rarely reported. A novel video-based CPR analysis system, called “See-CPR”, showing reliable CPR performance evaluation in previous manikin study, was designed to automatically analyze CPR performance in ambulance of OHCA transport.
Methods: To automatically detect chest compression (CC) movements in video documenting CPR, we first estimated the motion of objects using the motion vectors of MPEG videos. We extracted representative features and used a hierarchical detecting scheme, including frame-level detection and group-level classification, to determine the location of CC occurrence in both time and spatial domains. CC rate, CC duration, and hands-off no flow time (NFT) can be shown on video simultaneously. (Figure 1) To determine the performance of computerized video motion detection analysis, the total NFT (in seconds), the fraction of NFT (by percentage), and the CC rate (number per minute) were evaluated and compared with manual analysis of video in slow motion style. All the human faces in videos were in mosaic before analysis.
Results: Twenty video sequences of CPR in ambulance for 20 cardiac arrest patient transports by different paramedic teams were analyzed. The computerized video motion analysis versus manual analysis showed no significant difference among the total NFT (71.7±33.0 vs 61.2±37.9, p= 0.22), the fraction of NFT (33.3±5.6 vs 27.4±11.7, p= 0.13), and the chest compression rate (84.7±11.7 vs 84.9±11.8, p= 0.65).
Conclusions: A reliable video-based CPR motion detection and analysis system for automatically reporting real-time CPR performance in ambulance transport was proposed. It can be used for monitoring and real-time feedback of resuscitation en route of ambulance transport.
- Cardiopulmonary resuscitation
- Performance measurement
- Emergency medical services (EMS)
- Patient care
Author Disclosures: P. Ko: None. C. Jin: None. J. Li: None. J. Juang: None. J. Eilevstjønn: None. C. Yang: None. M. Ma: None. J. Wu: None. M. Hu: None.
- © 2014 by American Heart Association, Inc.