Dataset for gait assessment in Parkinson's disease patients

Abstract

Patients with Parkinson's disease (PD) can present walk disorders, with slow movements, freezing, short steps, speed changes, shuffling, little arm swing, and festinating gait, among others. Movement Disorder Society-Unified Parkinson's Disease-Rating Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating PD's motor and non-motor aspects. Nevertheless, the motor clinical assessment is based on visual observations, presenting the qualitative results, and the subtle differences are not recognized. This paper presents a dataset for gait assessments in Parkinson's patients and healthy control subjects. The dataset includes eight biomechanical indicators and raw signals, allowing other authors to replicate the published methods or create new evaluation procedures or algorithms. The tables with eight biomechanical indicators are related to physician evaluations, including data from healthy control subjects, considering only the dynamic accelerations and gyroscope signals.