Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …

Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …

Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …

With the rapid development of Internet of Things (IoT) technologies, traditional disease
diagnoses carried out in medical institutions can now be performed remotely at home or …

It is well known that eye movements are highly affected by Parkinson's disease. The majority
of studies related to effects of Parkinson's disease on eye movements have been performed …

Introduction Parkinson's disease is one of the most prevalent neurodegenerative diseases.
In the most advanced stages, PD produces motor dysfunction that impairs basic activities of …

Introduction Evaluation of bradykinesia is based on five motor tasks from the MDS-UPDRS.
Visually scoring these motor tasks is subjective, resulting in significant interrater variability …

Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …

The use of machine learning techniques in telemedicine to identify Parkinson's disease (PD)
in its early stages is explored in this paper. PD is a neurodegenerative condition that …

Over the last few decades, neuroimaging, particularly magnetic resonance imaging (MRI),
has played a significant sessional part in studying brain functions and diseases. MRI …