心肺复苏期间胸外按压质量监测：基于单加速度计反馈算法的概念验证

数据集获取（Figshare）

• 源站标题：Monitoring chest compression quality during cardiopulmonary resuscitation: Proof-of-concept of a single accelerometer-based feedback algorithm
• DOI：10.1371/journal.pone.0192810
• 发布日期：2018-02-14
• 文件数：2 个
• 文件总体积：3.62 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Monitoring_chest_compression_quality_during_cardiopulmonary_resuscitation_Proof-of-concept_of_a_single_accelerometer-based_feedback_algorithm/5889718

命令行下载

curl -L -o "S1 File.xls" "https://ndownloader.figshare.com/files/10492267"
curl -L -o "S2 File.zip" "https://ndownloader.figshare.com/files/10492270"

文件清单

• S1 File.xls（3.61 MB）
• S2 File.zip（2.79 KB）

文件总体积 3.62 MB（源站 API 实测）。

数据说明

Background
The use of real-time feedback systems to guide rescuers during cardiopulmonary resuscitation (CPR) significantly contributes to improve adherence to published resuscitation guidelines. Recently, we designed a novel method for computing depth and rate of chest compressions relying solely on the spectral analysis of chest acceleration. That method was extensively tested in a simulated manikin scenario. The purpose of this study is to report the results of this method as tested in human out-of-hospital cardiac arrest (OHCA) cases.
Materials and methods
The algorithm was evaluated retrospectively with seventy five OHCA episodes recorded by monitor-defibrillators equipped with a CPR feedback device. The acceleration signal and the compression signal computed by the CPR feedback device were stored in each episode. The algorithm was continuously applied to the acceleration signals. The depth and rate values estimated every 2-s from the acceleration data were compared to the reference values obtained from the compression signal. The performance of the algorithm was assesed in terms of the sensitivity and positive predictive value (PPV) for detecting compressions and in terms of its accuracy through the analysis of measurement error.
Results
The algorithm reported a global sensitivity and PPV of 99.98% and 99.79%, respectively. The median (P75) unsigned error in depth and rate was 0.9 (1.7) mm and 1.0 (1.7) cpm, respectively. In 95% of the analyzed 2-s windows the error was below 3.5 mm and 3.1 cpm, respectively.
Conclusions
The CPR feedback algorithm proved to be reliable and accurate when tested retrospectively with human OHCA episodes. A new CPR feedback device based on this algorithm could be helpful in the resuscitation field.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0192810（source: https://plos.figshare.com/articles/dataset/Monitoring_chest_compression_quality_during_cardiopulmonary_resuscitation_Proof-of-concept_of_a_single_accelerometer-based_feedback_algorithm/5889718）。