基于手持设备的客观旋前肌偏移测试应用(iPronator)
使用手持设备加速度计数据进行旋前肌偏移测试,用于检测脑卒中患者轻度手臂无力,包含患者与健康对照的对比及随访数据。

基本信息
资源简介
基于手持设备的客观旋前肌偏移测试应用(iPronator)
【数据集背景】
本数据集源站标题为《An Objective Pronator Drift Test Application (iPronator) Using Handheld Device》。配套论文《An Objective Pronator Drift Test Application (iPronator) Using Handheld Device》发表于 PLoS ONE(2012),DOI:10.1371/journal.pone.0041544。源站首次发布:2012-07-24。
【数据内容】
源站原始描述:Background The pronator drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the pronator drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neu…
【数据结构与技术规格】
文件数 2 个,合计 69.12 KB。Table_S1.doc:application/msword,35.84 KB。Table_S2.doc:application/msword,33.28 KB。数据集 DOI:10.1371/journal.pone.0041544。
【主题与分类】
源站学科分类:Physiology、Information and Computing Sciences、Biophysics、Neuroscience。主题标签:pronator、handheld。
【适用方向】
时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/An_Objective_Pronator_Drift_Test_Application_iPronator_Using_Handheld_Device/122120
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Shin, Soojeong; Park, Eunjeong; Lee, Dong Hyun; Lee, Ki-Jeong; Hoe Heo, Ji; Suk Nam, Hyo (2016). An Objective Pronator Drift Test Application (iPronator) Using Handheld Device. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
- DOI:10.1371/journal.pone.0041544
- 发布日期:2012-07-24
- 文件数:2 个
- 文件总体积:69.12 KB
- 源站页面:https://plos.figshare.com/articles/dataset/An_Objective_Pronator_Drift_Test_Application_iPronator_Using_Handheld_Device/122120
命令行下载
curl -L -o "Table_S1.doc" "https://ndownloader.figshare.com/files/314867"
curl -L -o "Table_S2.doc" "https://ndownloader.figshare.com/files/314912"
文件清单
Table_S1.doc(35.84 KB)Table_S2.doc(33.28 KB)
文件总体积 69.12 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
Background
The pronator drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the pronator drift test and investigated its feasibility in stroke patients.
Methods
The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later.
Results
There was a strong correlation between the average degree of pronation and drift measured by the iPronator (r = 0.741, pConclusions
The iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0041544(source: https://plos.figshare.com/articles/dataset/An_Objective_Pronator_Drift_Test_Application_iPronator_Using_Handheld_Device/122120)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




