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Dataset Information

Predicting the fatigue in Parkinson's disease using inertial sensor gait data and clinical characteristics.


ABSTRACT:

Objectives

The study aimed to analyze the clinical features and gait characteristics of patients with Parkinson's disease (PD) who also suffer from fatigue and to develop a model that can help identify fatigue states in the early stages of PD.

Methodology

A total of 81 PD patients have been enrolled for the Parkinson's Fatigue Scale (PFS-16) assessment and divided into two groups: patients with or without fatigue. Neuropsychological assessments of the two groups, including motor and non-motor symptoms, were collected. The patient's gait characteristics were collected using a wearable inertial sensor device.

Results

PD patients who experienced fatigue had a more significant impairment of motor symptoms than those who did not, and the experience of fatigue became more p

SUBMITTER: Wang H 

PROVIDER: S-EPMC10303817 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature