The advent of computer vision technology and increased usage of video cameras in clinical
settings have facilitated advancements in movement disorder analysis. This review …

Abstract Domain generalization (DG) aims to learn a generalizable model from multiple
training domains such that it can perform well on unseen target domains. A popular strategy …

Patients with Parkinson's disease (PD) often show gait impairments including shuffling gait,
festination, and lack of arm and leg coordination. Quantitative gait analysis can provide …

Currently doctors rely on tools such as the Unified Parkinson's Disease Rating Scale (MDS-
UDPRS) and the Scale for the Assessment and Rating of Ataxia (SARA) to make diagnoses …

Video-based gait analysis can be defined as the task of diagnosing pathologies, such as
ataxia, using videos of patients walking in front of a camera. This paper presents a graph …

Ataxic gait monitoring and assessment of neurological disorders belong to important areas
that are supported by digital signal processing methods and artificial intelligence (AI) …

Stroke is a medical condition that can affect motor function, particularly dynamic balance.
Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor …

The examination of neurological disorders and the monitoring of ataxic gait are major
scientific topics that benefit from digital signal processing techniques and machine learning …

Spinocerebellar ataxia is a neurological disorder characterized by impaired neural
coordination, leading to unstable gait, coordination difficulties, and other motor …