This study presents the concept of a computationally efficient machine learning (ML) model
for diagnosing and monitoring Parkinson's disease (PD) using rest-state EEG signals (rs …

Early detection of Parkinson's disease (PD) is very important in clinical diagnosis for
preventing disease development. In this study, we present efficient discrete wavelet …

Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …

Nowadays, smart health technologies are used in different life and environmental areas,
such as smart life, healthcare, cognitive smart cities, and social systems. Intelligent, reliable …

Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Background and objective In this work, we present a systematic review concerning the
recent enabling technologies as a tool to the diagnosis, treatment and better quality of life of …

In this study, a new combination scheme has been proposed for detecting Parkinson's
disease (PD) from electroencephalogram (EEG) signal recorded from normal subjects and …

The progressive loss of motor function in the brain is a hallmark of Parkinson's disease (PD).
Electroencephalogram (EEG) signals are commonly used for early diagnosis since they are …

Parkinson's disease (PD) is a critical neurological ailment that affects millions of individuals
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …

The use of internet of things (IoT) in smart home with medical devices within a connected
health environment promotes the quick flow of information, the patient's vital parameters are …