Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

The main purpose of this paper is to provide information on how to create a convolutional
neural network (CNN) for extracting features from EEG signals. Our task was to understand …

Abstract Applying Artificial Intelligence (AI) in the healthcare domain is getting benefitted day
by day with the advancement of approaches, one of them being Bio-Signal analysis. In Bio …

Parkinson's disease (PD) is the second most common neurodegenerative condition in the
world and is caused by reduced levels of dopamine in the central nervous system. The …

Background: Parkinson's disease (PD) affects 7–10 million people worldwide. Its diagnosis
is clinical and can be supported by image-based tests, which are expensive and not always …

Parkinson's disease (PD) is a serious movement disorder that may eventually progress to
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …

Parkinson's is the second most common neurodegenerative disease, affecting nearly 8.5 M
people and steadily increasing. In this research, Multimodal Deep Learning is investigated …

Parkinson's disease which is the second most prevalent neurodegenerative disorder in the
United States is a serious and complex disease that may progress to mild cognitive …

Parkinson's disease (PD) is one of the most serious and challenging neurodegenerative
disorders to diagnose. Clinical diagnosis on observing motor symptoms is the gold standard …