Implementation of a Smart Teaching and Assessment System for High-Quality Cardiopulmonary Resuscitation

Author:

Huang Li-Wen1ORCID,Chan Yu-Wei2ORCID,Tsan Yu-Tse13ORCID,Zhang Qi-Xiang4,Chan Wei-Chang1,Yang Han-Hsuan5

Affiliation:

1. Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan

2. Department of Computer Science and Information Management, Providence University, Taichung 40301, Taiwan

3. School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan

4. Department of Computer Science and Information Engineering, Providence University, Taichung 40301, Taiwan

5. Everlink Occupational Medicine Clinic, Taichung 40760, Taiwan

Abstract

The purpose of this study is to develop a smart training and assessment system called SmartCPR, for teaching and training cardiopulmonary resuscitation (CPR), based on human posture estimation techniques. In this system, trainees can automatically recognize and evaluate whether chest compressions during CPR meet the standard of high-quality CPR by simply using a device such as a smart phone. Through the system, trainees are able to obtain real-time feedback on the quality of compressions so that they can adjust the cycle, depth, frequency, and posture of compressions to meet the standard of high-quality CPR. In addition, the SmartCPR system is convenient for CPR trainers. Trainers can instantly and accurately assess whether the trainee’s compressions meet the standard of high-quality CPR, which reduces the risk of manual assessment errors and also reduces the trainer’s teaching pressures. Therefore, the SmartCPR system developed in this study can be an important tool for CPR teaching and training for physicians, which can provide training and guidance for high-quality CPR maneuvers and enable trainees to become more proficient in CPR and self-training.

Funder

the National Science and Technology Council (NSTC), Taiwan

the Taichung Veterans General Hospital (TCVGH), Taiwan

Publisher

MDPI AG

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