Segmentation and detection of physical activities during a sitting task in Parkinson’s disease participants using multiple inertial sensors

Journal of Applied Biomedicine

关键词: Parkinson’s disease;    Machine learning;    Activity detection;    Auto segmentation;   

DOI  :  10.1016/j.jab.2017.05.002

学科分类：医学（综合）

来源: Elsevier

【 摘 要 】

IntroductionThe development of inertial sensors in motion capture systems enables precise measurement of motor symptoms in Parkinson’s disease (PD). The type of physical activities performed by the PD participants is an important factor to compute objective scores for specific motor symptoms of the disease. The goal of this study is to propose an approach to automatically detect the physical activities over a period time and segment the time stamps for such detected activities.

【 授权许可】

Unknown