A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease.

ABSTRACT: Freezing of Gait (FOG) is one of the most disabling motor complications of Parkinson's disease, and consists of an episodic inability to move forward, despite the intention to walk. FOG increases the risk of falls and reduces the quality of life of patients and their caregivers. The phenomenon is difficult to appreciate during outpatients visits; hence, its automatic recognition is of great clinical importance. Many types of sensors and different locations on the body have been proposed. However, the advantages of a multi-sensor configuration with respect to a single-sensor one are not clear, whereas this latter would be advisable for use in a non-supervised environment. In this study, we used a multi-modal dataset and machine learning algorithms to perform different classifications betwee

SUBMITTER: Mesin L 

PROVIDER: S-EPMC9002774 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature