帕金森病患者起床策略技术评估:多部位可穿戴传感器数据表1
帕金森病患者多部位可穿戴传感器评估起床(仰卧到站立)任务的数据表,包含客观运动参数与临床量表相关性。

基本信息
资源简介
帕金森病患者起床策略技术评估:多部位可穿戴传感器数据表1
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 330.03 KB,主题涵盖 Parkinson''s disease、getting out of bed、early morning akinesia、nocturia、wearable sensor,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson''s disease: Insights from multisite wearable sensors.docx》。配套论文《How well do Parkinson''s disease patients turn in bed? Quantitative analysis of nocturnal hypokinesia using multisite wearable inertial sensors》发表于 Parkinsonism & Related Disorders(2016),DOI:10.1016/j.parkreldis.2015.11.003。源站首次发布:2022-08-25。
【数据内容】
源站原始描述:BackgroundDifficulty getting out of bed is a common night-time and early morning manifestation of Parkinson''s disease (PD), rated by 40% of the patients as their most concerning motor symptoms. However, current assessment methods are based on clinical interviews, video analysis, and clinical scales as objective outcome measures are not yet available. ObjectiveTo study the technical feasibility of multisite wearable sensors in the assessment of the supine-to-stand (STS) task as a determinant of t…
【数据结构与技术规格】
文件数 1 个,合计 330.03 KB。Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson''s disease: Insights from multisite wearable sensors.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,330.03 KB。数据集 DOI:10.3389/fmedt.2022.922218.s001。
【主题与分类】
源站学科分类:Medical Biotechnology Diagnostics (incl. Biosensors)、Regenerative Medicine (incl. Stem Cells and Tissue Engineering)、Biotechnology、Medical Devices、Biomedical Engineering not elsewhere classified。主题标签:Parkinson''s disease、getting out of bed、early morning akinesia、nocturia、wearable sensor、objective outcome measure。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Technological_evaluation_of_strategies_to_get_out_of_bed_by_people_with_Parkinson_s_disease_Insights_from_multisite_wearable_sensors_docx/20623152
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Sringean, Jirada; Thanawattano, Chusak; Bhidayasiri, Roongroj (2022). Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson''s disease: Insights from multisite wearable sensors.docx. Frontiers. 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
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使用方式
数据集获取(Figshare)
- 源站标题:Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson’'s disease: Insights from multisite wearable sensors.docx
- DOI:10.3389/fmedt.2022.922218.s001
- 发布日期:2022-08-25
- 文件数:1 个
- 文件总体积:330.03 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Technological_evaluation_of_strategies_to_get_out_of_bed_by_people_with_Parkinson_s_disease_Insights_from_multisite_wearable_sensors_docx/20623152
命令行下载
curl -L -o "Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson''s disease: Insights from multisite wearable sensors.docx" "https://ndownloader.figshare.com/files/36824544"
文件清单
Data_Sheet_1_Technological evaluation of strategies to get out of bed by people with Parkinson''s disease: Insights from multisite wearable sensors.docx(330.03 KB)
文件总体积 330.03 KB(源站 API 实测)。
数据说明
BackgroundDifficulty getting out of bed is a common night-time and early morning manifestation of Parkinson’'s disease (PD), rated by 40% of the patients as their most concerning motor symptoms. However, current assessment methods are based on clinical interviews, video analysis, and clinical scales as objective outcome measures are not yet available.
ObjectiveTo study the technical feasibility of multisite wearable sensors in the assessment of the supine-to-stand (STS) task as a determinant of the ability to get out of bed in patients with PD and age-matched control subjects, and develop relevant objective outcome measures.
MethodsThe STS task was assessed in 32 patients with PD (mean Hoehn and Yahr; HY = 2.5) in the early morning before their first dopaminergic medication, and in 14 control subjects, using multisite wearable sensors (NIGHT-Recorder®; trunk, both wrists, and both ankles) in a sleep laboratory. Objective getting out of bed parameters included duration, onset, velocity and acceleration of truncal rotation, and angle deviation (a°) from the z-axis when subjects rose from the bed at different angles from the x-axis (10°, 15°, 30°, 45°, and 60°) as measures of truncal lateral flexion. Movement patterns were identified from the first body part or parts that moved. Correlation analysis was performed between these objective outcomes and standard clinical rating scales.
ResultsCompared to control subjects, the duration of STS was significantly longer in patients with PD (p = 0.012), which is associated with a significantly slower velocity of truncal rotation (p = 0.003). Moderate and significant correlations were observed between the mean STS duration and age, and the Nocturnal Hypokinesia Questionnaire. The velocity of truncal rotation negatively and significantly correlated with HY staging. Any arm and leg moved together as the first movement significantly correlated with UPDRS-Axial and item #28. Several other correlations were also observed.
ConclusionOur study was able to demonstrate the technical feasibility of using multisite wearable sensors to quantitatively assess early objective outcome measures of the ability of patients with PD to get out of
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fmedt.2022.922218.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Technological_evaluation_of_strategies_to_get_out_of_bed_by_people_with_Parkinson_s_disease_Insights_from_multisite_wearable_sensors_docx/20623152)。
数据缺失?
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