数据链接：
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资源简介：
Sensor- and trial-related data
应用场景：
创建时间：
2018-04-13
相关数据集
Dataset related to article "Sensorimotor, Attentional, and Neuroanatomical Predictors of Upper Limb Motor Deficits and Rehabilitation Outcome after Stroke"
The dataset contains the raw data for each patient (subject) in the sample. CODEBOOK Demographic information: age (in years) gender (1=, 2=) education (in years) <st
DataCite Commons2022-04-01 更新30
Data_Sheet_2_Tracking the Effect of Therapy With Single-Trial Based Classification After Stroke.CSV
Stroke is a debilitating disease that leads, in the 50% of cases, to permanent motor or cognitive impairments. The effectiveness of therapies that promote recovery after stroke depends on indicators o
NIAID Data Ecosystem20
Device use and change in Fugl-Meyer scores.
Device use and change in Fugl-Meyer scores.
Figshare2019-04-12 更新10
Table_1_Psychometric Properties of the Trail Walking Test for People With Stroke.DOCX
ObjectiveTo investigate (i) the inter-rater and test–retest reliability of the trail walking test (TWT) and the minimum detectable change in the TWT completion time; (ii) the correlations between the
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EMG data of stroke and healthy subjects when performing hand-to-nose movement
The dataset includes three files, FM.mat, rawEMGData_H.mat, and rawEMGData_P.mat. FM.mat is the upper limb FM score of 20 stroke patients.rawEMGData_H.mat and rawEMGData_P.mat are the raw EMG signals
Figshare2022-02-11 更新10
