实时反馈改善院外心脏骤停中的胸外按压质量：一项前瞻性队列研究

数据集获取（Figshare）

• 源站标题：Real-time feedback improves chest compression quality in out-of-hospital cardiac arrest: A prospective cohort study
• DOI：10.1371/journal.pone.0229431
• 发布日期：2020-02-24
• 文件数：6 个
• 文件总体积：1.57 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Real-time_feedback_improves_chest_compression_quality_in_out-of-hospital_cardiac_arrest_A_prospective_cohort_study/11892675

命令行下载

curl -L -o "pone.0229431.s001.pdf" "https://ndownloader.figshare.com/files/21811836"
curl -L -o "pone.0229431.s002.csv" "https://ndownloader.figshare.com/files/21811839"
curl -L -o "pone.0229431.s003.csv" "https://ndownloader.figshare.com/files/21811842"
curl -L -o "pone.0229431.s004.csv" "https://ndownloader.figshare.com/files/21811845"
curl -L -o "pone.0229431.s005.docx" "https://ndownloader.figshare.com/files/21811848"
curl -L -o "pone.0229431.s006.docx" "https://ndownloader.figshare.com/files/21811851"

文件清单

• pone.0229431.s001.pdf（1.10 MB）
• pone.0229431.s002.csv（17.41 KB）
• pone.0229431.s003.csv（22.81 KB）
• pone.0229431.s004.csv（24.52 KB）
• pone.0229431.s005.docx（211.34 KB）
• pone.0229431.s006.docx（189.79 KB）

文件总体积 1.57 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Background
Current guidelines underline the importance of high-quality chest compression during cardiopulmonary resuscitation (CPR), to improve outcomes. Contrary to this many studies show that chest compression is often carried out poorly in clinical practice, and long interruptions in compression are observed. This prospective cohort study aimed to analyse whether chest compression quality changes when a real-time feedback system is used to provide simultaneous audiovisual feedback on chest compression quality. For this purpose, pauses in compression, compression frequency and compression depth were compared.
Methods
The study included 292 out-of-hospital cardiac arrests in three consecutive study groups: first group, conventional resuscitation (no-sensor CPR); second group, using a feedback sensor to collect compression depth data without real-time feedback (sensor-only CPR); and third group, with real-time feedback on compression quality (sensor-feedback CPR). Pauses and frequency were analysed using compression artefacts on electrocardiography, and compression depth was measured using the feedback sensor. With this data, various parameters were determined in order to be able to compare the chest compression quality between the three consecutive groups.
Results
The compression fraction increased with sensor-only CPR (group 2) in comparison with no-sensor CPR (group 1) (80.1% vs. 87.49%; P P = 1.00). Compression frequency declined over the three study groups, reaching the guideline recommendations (127.81 comp/min vs. 122.96 comp/min, P = 0.02 vs. 119.15 comp/min, P = 0.008) after activation of sensor-feedback CPR (group 3). Mean compression depth only changed minimally with sensor-feedback (52.49 mm vs. 54.66 mm; P = 0.16), but the fraction of compressions with sufficient depth (at least 5 cm) and compressions within the recommended 5–6 cm increased significantly with sensor-feedback CPR (56.90% vs. 71.03%; P = 0.003 and 28.74% vs. 43.97%; P Conclusions
The real-time feedback system improved chest compression quality regarding pauses in compression and compression frequency and facilitated compliance with the guideline recommendations. Compression depth did

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0229431（source: https://plos.figshare.com/articles/dataset/Real-time_feedback_improves_chest_compression_quality_in_out-of-hospital_cardiac_arrest_A_prospective_cohort_study/11892675）。