Infarcted Patients个性化多参数监护仪警报参数化

数据集获取（Figshare）

• 源站标题：Individualized parameterization of multiparametric monitors alarms in infarcted patients
• DOI：10.6084/m9.figshare.11390799.v1
• 发布日期：2019-12-18
• 文件数：5 个
• 文件总体积：157.79 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Individualized_parameterization_of_multiparametric_monitors_alarms_in_infarcted_patients/11390799

命令行下载

curl -L -o "0034-7167-reben-72-03-0609-gf01.jpg" "https://ndownloader.figshare.com/files/20256210"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/20256213"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/20256216"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/20256219"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/20256222"

文件清单

• 0034-7167-reben-72-03-0609-gf01.jpg（131.16 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）

文件总体积 157.79 KB（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

ABSTRACT Objective: To measure the magnitude of the effect of an individualized parameterization protocol for hemodynamic alarms in patients with acute myocardial infarction. Method: Pragmatic clinical trial, open label and single arm, whose intervention was performed through a protocol validated and tested in 32 patients using multiparametric monitors. The heart rate, blood pressure, respiratory rate, oxygen saturation and ST segment-monitoring were measured and classified for clinical consistency one hour before and after the intervention, for 64 hours. Results: The protocol obtained Content Validity Index of 0.92. Of the 460 registered alarms, 261 were considered inconsistent before the intervention and 47 after it. The Relative Risk of inconsistent alarms after the protocol was 0.32 (95% CI 0.23-0.43, p <0.0001). Conclusion: The protocol proved to be a protective factor to the appearance of inconsistent clinical alarms of multiparametric monitors.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.11390799.v1（source: https://scielo.figshare.com/articles/dataset/Individualized_parameterization_of_multiparametric_monitors_alarms_in_infarcted_patients/11390799）。