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 …

Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …

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 …

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 …

Prevalence of neurocognitive diseases in adult patients demands the use of wearable
devices to transform the future of mental health. Recent development in wearable …

Freezing of gait, defined as sudden and usually brief episodes of inability to produce
effective stepping, often results in falls and is both disabling and common in parkinsonism. In …

Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility.
While a clinical setting allows the estimation of gait speed under controlled conditions that …

Parkinson's disease (PD) management requires the involvement of movement disorders
experts, other medical specialists, and allied health professionals. Traditionally …

In this paper, we proposed a novel approach to diagnose and classify Parkinson's Disease
(PD) using ensemble learning and 1D-PDCovNN, a novel deep learning technique. PD is a …