Background and objective The automatic noninvasive identification of Parkinson's disease
(PD) is attractive to clinicians and neuroscientist. Various analysis and classification …

Parkinson's Disease (PD) is the most precarious chronic disorder of the human brain
affecting millions of people globally. In today's world of technical inventions, the diagnosis of …

Previous studies have indicated that gait rhythm fluctuations are useful for characterizing
certain pathologies of neurodegenerative diseases such as Huntington's disease (HD) …

The analysis of gait rhythm by pattern recognition can support the state-of-the-art clinical
methods for the identification of neurodegenerative diseases (NDD). In this study, we …

One of the challenges of computer-aided diagnostic systems is to propose a reliable
algorithm detecting different types of neurodegenerative diseases using cost-effective …

Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons
which affects the motor capacity of the patient. Particularly the walking gait is greatly …

Objective: A neurodegenerative disease (NDD) detection algorithm using a convolutional
neural network (CNN) and wavelet coherence spectrogram of gait synchronization was …

Parkinson's disease (PD) is a cognitive degenerative disorder of the central nervous system
that mainly affects the motor system. The earliest symptoms evidence a general deficit of …

The prevalence of neurodegenerative diseases (NDD) has grown rapidly in recent years
and NDD screening receives much attention. NDD could cause gait abnormalities so that to …

Gait and posture are regular activities which are fully controlled by the sensorimotor cortex.
In this paper, the complexity of fluctuations in human walking stride records is analyzed to …