Detection and Evaluation for High-Quality CPR Based on Motion Capture Devices: A Preliminary Test.

Autor: Xingyi TANG, Meihua PIAO, Yan WANG, Haoming MA, Aoqi WANG, You ZHOU, Sijia LI, Runyuan PEI
Zdroj: Studies in Health Technology & Informatics; 2024, Vol. 315, p145-149, 5p
Abstrakt: High-quality cardiopulmonary resuscitation (CPR) is important for successful revival. This test aimed to accurately and effectively assess parameters in CPR operations, particularly focusing on the non-quantified arm posture, to assist instructors in guiding students to enhance the quality of their performance. We used motion capture system (Mars series, Nokov, China) to collect compression data from four trained students about five rounds of CPR, recording dynamic data of each marker in three-dimensional space following time. Using the processed data, we calculated compression depth, frequency, and arm angles. Their performance still needed improvement, and there were variations in data within individuals. This suggests that when instructors conduct assessments, they should focus on not only the overall performance but also each compression. This experiment provides a new perspective for quantifying compression parameters, and future efforts should continue to optimize and incorporate new parameters for assessment. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index