Wearable-sensor data with merged and separate freezing of gait episodes for freeze detection and prediction in Parkinson’s disease

Wearable-sensor data with merged and separate freezing of gait episodes. Walking trials with participants with Parkinson’s disease. Contains inertial measurement unit (IMU) and plantar-pressure based features. Suited for freeze detection and prediction in Parkinson’s disease.本数据集为涵盖合并与独立步态冻结（freezing of gait）发作的可穿戴传感器数据，采集自帕金森病患者的行走测试。数据集包含基于惯性测量单元（IMU）与足底压力的特征，可用于帕金森病患者的步态冻结检测与预测任务。