This paper reviews the recent literature on technologies and methodologies for quantitative
human gait analysis in the context of neurodegenerative diseases. The use of technological …

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

Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …

Automated analysis of physiological time series is utilized for many clinical applications in
medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural …

In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …

Rolling bearings are important components in mechanical, civil, and aerospace
engineering. The practical working conditions of rolling bearings are complex; hence, fault …

Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

The rate of development of robotic technologies has been meteoric, as a result of
compounded advancements in hardware and software. Amongst these robotic technologies …

Parkinson's disease (PD) is common disorder for many people and is not easy to diagnose.
It is a neurological disorder. The authors proposed a novel approach using data partitioning …

Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor
system of the central nervous system. This disease is difficult to diagnose and is one of the …