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Example extracted data from finger tapping task (1 case) for model prediction

Figshare2025-05-05 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Example_extracted_data_from_finger_tapping_task_1_case_for_model_prediction/28930694 数据链接链接失效反馈

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Example case, extracted data for bradykinesia prediction

应用场景：

创建时间：

2025-05-05

帕金森病运动障碍

磁共振成像

Search performed in PubMed using keywords “Parkinson’s”, “fMRI”, “motor task”. All studies involving cognitive aspects were excluded. N: Number of studied patients suffering from Parkinson’s disease.

NIAID Data Ecosystem70

Data_Sheet_1_Factors Contributing to the Severity and Laterality of Pisa Syndrome in Parkinson’s Disease.docx

帕金森病运动障碍

神经学评估

Objective: Pisa syndrome (PS) is a disabling postural deformity in Parkinson’s disease (PD). We aimed to elucidate clinical factors determining the severity and laterality of PS in PD. Methods: In 54

NIAID Data Ecosystem30

Classification within patient subgroups.

帕金森病运动障碍

模式识别算法应用

Subgroups of PD patients defined by either H&Y I, II, III, or UPDRS-III based levels of motor impairment (UPDRS low: 0–12, mild: 13–22; high: 23–50) were classified by two additional pattern recogniti

Figshare2015-12-02 更新10

Technology to classify movements by analysis of quantitative continuous outputs of sensors

帕金森病运动障碍

运动障碍评估

Parkinson's disease is one of the most common neurodegenerative disorders, caused by the progressive deterioration of dopaminergic cells in the substantia nigra pars compacta. It is the second leading

NIAID Data Ecosystem40

Signal processing of quantitative continuous measurement of movements in the extremities

帕金森病运动障碍

生物医学信号处理

A protocol for a low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease (PD) (McKay, et al., 2019) modified from the Movement Disorder Society-

Mendeley Data2020-12-22 更新10

Example extracted data from finger tapping task (1 case) for model prediction

资源简介：

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