Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Department of Neurology, Neurobiology and Geriatrics, Beijing, 100053, China.
The Affiliated Hospital of Xuzhou Medical University, Department of Neurology, Xuzhou, 221006, China.
Sci Data. 2022 Oct 7;9(1):606. doi: 10.1038/s41597-022-01713-8.
Freezing of gaits (FOG) is a very disabling symptom of Parkinson's Disease (PD), affecting about 50% of PD patients and 80% of advanced PD patients. Studies have shown that FOG is related to a complex interplay between motor, cognitive and affective factors. A full characterization of FOG is crucial for FOG detection/prediction and prompt intervention. A protocol has been designed to acquire multimodal physical and physiological information during FOG, including gait acceleration (ACC), electroencephalogram (EEG), electromyogram (EMG), and skin conductance (SC). Two tasks were designed to trigger FOG, including gait initiation failure and FOG during walking. A total number of 12 PD patients completed the experiments and produced a length of 3 hours and 42 minutes of valid data including 2 hours and 14 minutes of normal gait and 1 hour and 28 minutes of freezing of gait. The FOG episodes were labeled by two qualified physicians. The multimodal data have been validated by a FOG detection task.
冻结步态（FOG）是帕金森病（PD）非常致残的症状，影响约 50%的 PD 患者和 80%的晚期 PD 患者。研究表明，FOG 与运动、认知和情感因素之间的复杂相互作用有关。全面描述 FOG 对于 FOG 的检测/预测和及时干预至关重要。已经设计了一个方案来在 FOG 期间获取多模态的身体和生理信息，包括步态加速度（ACC）、脑电图（EEG）、肌电图（EMG）和皮肤电导率（SC）。设计了两个任务来触发 FOG，包括步态启动失败和行走时的 FOG。共有 12 名 PD 患者完成了实验，产生了 3 小时 42 分钟的有效数据，其中包括 2 小时 14 分钟的正常步态和 1 小时 28 分钟的冻结步态。FOG 发作由两名合格的医生进行标记。多模态数据已经通过 FOG 检测任务进行了验证。
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