Objective measurement and analysis of gait parameters in patients with Parkinson’s disease
DOI:
https://doi.org/10.5281/zenodo.16881549Keywords:
Walking, Parkinson’s diseaseAbstract
Walking, in itself, represents a dynamic stereotype characterized by individuality. In various neurological diseases, such as stroke, Parkinson’s disease, multiple sclerosis, etc., it is impaired to different extents.
Human Activity Recognition (HAR) refers to the ability to identify and analyze activities using Artificial Intelligence (AI) based on raw data collected from various sources, such as wearable sensors, smartphone inertial sensors, camera devices, and others. According to conducted studies, the development of HAR is directly proportional to the advancement of AI.
In recent decades, numerous studies have shown that these devices, used to assess motor symptoms in Parkinson’s disease and record their fluctuations, serve as quantitative and reliable tools for studying motor potential.
Understanding locomotion in neurological diseases requires the use of modern technologies for quantitative analysis.
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