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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
Data_Sheet_1_Automated Movement Assessment in Stroke Rehabilitation.pdf
We are developing a system for long term Semi-Automated Rehabilitation At the Home (SARAH) that relies on low-cost and unobtrusive video-based sensing. We present a cyber-human methodology used by the
NIAID Data Ecosystem50
Additional file 2 of Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?
Additional file 2. This contains all images used in the Additional file 1.
Figshare2024-02-09 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 Ecosystem90
Standardisation of the Brazilian version of Lucerne ICF-based multidisciplinary observational scale (LIMOS) into a patient-reported outcome measure (PROM)
The LIMOS is a validated observational tool designed to assess stroke rehabilitation within hospital settings. To enable its application in outpatient settings in Brazil and similar low- and middle-in
Figshare2025-01-19 更新40
