脑瘫儿童运动评估数字工具包用户参与与传感器评估数据集

数据集获取（Figshare）

• 源站标题：Table_1_A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement in Children With Cerebral Palsy.XLSX
• DOI：10.3389/fdgth.2021.692112.s001
• 发布日期：2021-06-24
• 文件数：1 个
• 文件总体积：12.98 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_A_Systematic_Multidisciplinary_Process_for_User_Engagement_and_Sensor_Evaluation_Development_of_a_Digital_Toolkit_for_Assessment_of_Movement_in_Children_With_Cerebral_Palsy_XLSX/14833710

命令行下载

curl -L -o "Table_1_A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement .XLSX" "https://ndownloader.figshare.com/files/28558068"

文件清单

• Table_1_A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement .XLSX（12.98 KB）

文件总体积 12.98 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

Objectives: To describe and critique a systematic multidisciplinary approach to user engagement, and selection and evaluation of sensor technologies for development of a sensor-based Digital Toolkit for assessment of movement in children with cerebral palsy (CP).
Methods: A sequential process was employed comprising three steps: Step 1: define user requirements, by identifying domains of interest; Step 2: map domains of interest to potential sensor technologies; and Step 3: evaluate and select appropriate sensors to be incorporated into the Digital Toolkit. The process employed a combination of principles from frameworks based in either healthcare or technology design.
Results: A broad range of domains were ranked as important by clinicians, patients and families, and industry users. These directly informed the device selection and evaluation process that resulted in three sensor-based technologies being agreed for inclusion in the Digital Toolkit, for use in a future research study.
Conclusion: This report demonstrates a systematic approach to user engagement and device selection and evaluation during the development of a sensor-based solution to a healthcare problem. It also provides a narrative on the benefits of employing a multidisciplinary approach throughout the process. This work uses previous frameworks for evaluating sensor technologies and expands on the methods used for user engagement.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fdgth.2021.692112.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_A_Systematic_Multidisciplinary_Process_for_User_Engagement_and_Sensor_Evaluation_Development_of_a_Digital_Toolkit_for_Assessment_of_Movement_in_Children_With_Cerebral_Palsy_XLSX/14833710）。