眩晕患者远程评估与管理的游戏化前庭康复治疗平台数据表1

该数据集包含远程前庭康复平台(HiM-V APP)的开发与可行性验证数据,包括患者报告结局、游戏化训练的眼动/头动数据及可用性评分。

NIAID Data Ecosystem
浏览 17
多模态remote assessmentremote patient monitoringdizzinessvestibular rehabilitationdigital healthusabilityfeasibility
Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation therapy platform

基本信息

模态
多模态
大小
0.000767087 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

眩晕患者远程评估与管理的游戏化前庭康复治疗平台数据表1

【一句话概览】

本数据集是 figshare 公开的多模态数据集,收录 1 个文件、合计 767.09 KB,主题涵盖 remote assessment、remote patient monitoring、dizziness、vestibular rehabilitation、digital health,可用于跨模态对齐与融合建模研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation therapy platform.DOCX》。配套论文《Vestibular Rehabilitation for Peripheral Vestibular Hypofunction: An Updated Clinical Practice Guideline From the Academy of Neurologic Physical Therapy of the American Physical Therapy Association》发表于 Journal of Neurologic Physical Therapy(2021),DOI:10.1097/NPT.0000000000000382。源站首次发布:2024-05-30。

【数据内容】

源站原始描述:IntroductionDizziness is a growing public health concern with as many as 95 million adults in Europe and the United States experiencing vestibular hypofunction, which is associated with reduced quality of life, poorer health, and falls. Vestibular rehabilitation therapy (VRT) is effective in reducing symptoms and improving balance; however, limited access to qualified clinicians and poor patient adherence impedes optimal delivery. The goal of this study was to develop and evaluate the feasibilit…

【数据结构与技术规格】

文件数 1 个,合计 767.09 KB。Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation .DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,767.09 KB。数据集 DOI:10.3389/fneur.2024.1367582.s001。

【主题与分类】

源站学科分类:Neurology and Neuromuscular Diseases、Neurogenetics。主题标签:remote assessment、remote patient monitoring、dizziness、vestibular rehabilitation、digital health、usability、feasibility。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Remote_assessment_and_management_of_patients_with_dizziness_development_validation_and_feasibility_of_a_gamified_vestibular_rehabilitation_therapy_platform_DOCX/25929370

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Hall, Courtney D.; Flynn, Sheryl; Clendaniel, Richard A.; Roberts, Dale C.; Stressman, Kara D.; Pu, William; et al. (2024). Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation therapy platform.DOCX. Fro…

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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。

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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)

命令行下载

curl -L -o "Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation .DOCX" "https://ndownloader.figshare.com/files/46666375"

文件清单

  • Table_1_Remote assessment and management of patients with dizziness: development, validation, and feasibility of a gamified vestibular rehabilitation .DOCX(767.09 KB)

文件总体积 767.09 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

IntroductionDizziness is a growing public health concern with as many as 95 million adults in Europe and the United States experiencing vestibular hypofunction, which is associated with reduced quality of life, poorer health, and falls. Vestibular rehabilitation therapy (VRT) is effective in reducing symptoms and improving balance; however, limited access to qualified clinicians and poor patient adherence impedes optimal delivery. The goal of this study was to develop and evaluate the feasibility of a remote therapeutic monitoring VRT Platform application (APP) for the assessment and treatment of vestibular dysfunction.
MethodsUser-centered iterative design process was used to gather and integrate the needs of users (clinicians and patients) into the design at each stage of development. Commonly used vestibular patient-reported outcome measures (PROs) were integrated into the APP and adults with chronic dizziness were enrolled to evaluate validity and reliability of the APP compared to standard clinical measures (CLIN). Gaze stabilization exercises were gamified to provide an engaging experience and an off-the-shelf sensor captured eye and head movement to provide feedback on accuracy of performance. A prospective, pilot study design with pre-and post-treatment assessment assessed feasibility of the APP compared to standard VRT (CLIN).
ResultsParticipants with dizziness wanted a summary rehabilitation report shared with their clinicians, felt that an app could help with accountability, and believed that a gaming format might help with exercise adherence. Clinicians felt that the app should include features to record and track eye and head movement, monitor symptoms, score accuracy of task performance, and measure adherence. Validity and reliability of the digital PROs (APP) were compared to scores from CLIN across two sessions and found to have good validity, good to excellent test-retest reliability, and excellent usability (≥88%ile). The pilot study demonstrated feasibility for use of the APP compared to CLIN for treatment of vestibular hypofunction. The mean standard system usability score of the APP was 82.5 indicating excellent usability.
DiscussionBoth adu

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2024.1367582.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Remote_assessment_and_management_of_patients_with_dizziness_development_validation_and_feasibility_of_a_gamified_vestibular_rehabilitation_therapy_platform_DOCX/25929370)。

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