Chest compression metrics during manual cardiopulmonary resuscitation: A manikin study

• Published in: 2017 Computing in Cardiology (CinC) pp. 1 - 4
• Main Authors: de Gauna, Sofia Ruiz, Gonzalez-Otero, Digna M, Russell, James K, Ruiz, Jesus, Pelayo, Sara, Saiz, Purificacion
• Format: Conference Proceeding
• Language: English
• Published: CCAL 01.09.2017
• Subjects: Cardiac arrest; Correlation; Manuals; Measurement; Reliability
• ISSN: 2325-887X
• DOI: 10.22489/CinC.2017.006-081

Chest compression quality during cardiopulmonary resuscitation (CPR) is defined by adequate rate and depth, with complete chest recoil. Other metrics are duty cycle, or the recently introduced release velocity. However, the relationship between metrics is not sufficiently understood. Our aim was to design and validate tools for the automated annotation and analysis of compression metrics during manual CPR in a simulated manikin setting. Eleven volunteers delivered chest compressions on a manikin equipped with a distance sensor to measure chest displacement. Compression depth signal was acquired during 2-min sessions, with different chest stiffness and target compression rates. The annotated metrics for each compression were: compression and decompression duration (T c , T d ), compression depth (d p ), duty cycle (DC), compression velocity (CV), and release velocity (RV). We annotated 31451 compressions in 132 recordings, and analyzed the distributions of the annotated metrics: d p decreased with increasing rate and stiffness. DC, CV and RV increased with rate, and differed with stiffness. CV and RV showed a strong linear correlation with the ratio dp/T c and dp/Td, respectively. The study provided a reliable framework for the characterization of chest compressions during manual CPR, and could be extended to human data.