Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …

Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

Background automatic recognition of human movement is an effective strategy to assess
abnormal gait patterns. Machine learning approaches are mainly applied due to their ability …

This article presents a machine learning methodology for diagnosing Parkinson's disease
(PD) based on the use of vertical Ground Reaction Forces (vGRFs) data collected from the …

Wearable robotic devices require sensors and algorithms that can recognize the user state
in real-time, in order to provide synergistic action with the body. For devices intended for …

Parkinson's Disease (PD) is a neuro-degenerative disease which affects a persons mobility.
Tremors, rigidity of the muscles and imprecise gait movements are characteristics of this …

The aim of this study was to conduct a comprehensive analysis of the placement of multiple
wearable sensors for the purpose of analyzing and classifying the gaits of patients with …

Large-scale population screening and in-home monitoring for patients with Parkinson's
disease (PD) has so far been mainly carried out by traditional healthcare methods and …

To assess the gait variability in patients with Parkinson's disease (PD), we first used the
nonparametric Parzen-window method to estimate the probability density functions (PDFs) …

Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …