仅使用加速度计进行心肺复苏时胸外按压速率和深度反馈

数据集获取（Figshare）

• 源站标题：Feedback on the Rate and Depth of Chest Compressions during Cardiopulmonary Resuscitation Using Only Accelerometers
• DOI：10.1371/journal.pone.0150139
• 发布日期：2016-03-01
• 文件数：5 个
• 文件总体积：13.37 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Feedback_on_the_Rate_and_Depth_of_Chest_Compressions_during_Cardiopulmonary_Resuscitation_Using_Only_Accelerometers/3086557

命令行下载

curl -L -o "S1 File.xls" "https://ndownloader.figshare.com/files/4798564"
curl -L -o "S2 File.xls" "https://ndownloader.figshare.com/files/4798585"
curl -L -o "S3 File.xls" "https://ndownloader.figshare.com/files/4798603"
curl -L -o "S4 File.pdf" "https://ndownloader.figshare.com/files/4798627"
curl -L -o "S5 File.pdf" "https://ndownloader.figshare.com/files/4798639"

文件清单

• S1 File.xls（5.62 MB）
• S2 File.xls（5.62 MB）
• S3 File.xls（1.76 MB）
• S4 File.pdf（34.72 KB）
• S5 File.pdf（341.33 KB）

文件总体积 13.37 MB（源站 API 实测）。

数据说明

Background
Quality of cardiopulmonary resuscitation (CPR) is key to increase survival from cardiac arrest. Providing chest compressions with adequate rate and depth is difficult even for well-trained rescuers. The use of real-time feedback devices is intended to contribute to enhance chest compression quality. These devices are typically based on the double integration of the acceleration to obtain the chest displacement during compressions. The integration process is inherently unstable and leads to important errors unless boundary conditions are applied for each compression cycle. Commercial solutions use additional reference signals to establish these conditions, requiring additional sensors. Our aim was to study the accuracy of three methods based solely on the acceleration signal to provide feedback on the compression rate and depth.
Materials and Methods
We simulated a CPR scenario with several volunteers grouped in couples providing chest compressions on a resuscitation manikin. Different target rates (80, 100, 120, and 140 compressions per minute) and a target depth of at least 50 mm were indicated. The manikin was equipped with a displacement sensor. The accelerometer was placed between the rescuer’s hands and the manikin’s chest. We designed three alternatives to direct integration based on different principles (linear filtering, analysis of velocity, and spectral analysis of acceleration). We evaluated their accuracy by comparing the estimated depth and rate with the values obtained from the reference displacement sensor.
Results
The median (IQR) percent error was 5.9% (2.8–10.3), 6.3% (2.9–11.3), and 2.5% (1.2–4.4) for depth and 1.7% (0.0–2.3), 0.0% (0.0–2.0), and 0.9% (0.4–1.6) for rate, respectively. Depth accuracy depended on the target rate (p p Conclusions
Accurate feedback on chest compression depth and rate during CPR is possible using exclusively the chest acceleration signal. The algorithm based on spectral analysis showed the best performance. Despite these encouraging results, further research should be conducted to asses the performance of these algorithms with clinical data.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0150139（source: https://plos.figshare.com/articles/dataset/Feedback_on_the_Rate_and_Depth_of_Chest_Compressions_during_Cardiopulmonary_Resuscitation_Using_Only_Accelerometers/3086557）。