Human movement has been the subject of investigation since the fifth century when early
scientists and researchers attempted to model the human musculoskeletal system. The …

Recognition of specific Parkinsonian gait patterns is helpful in the diagnosis of Parkinson's
disease (PD). However, there are few computer-aided methods to identify the specific gait …

The benefits arising from proactive conduct and subject-specialized healthcare have driven
e-health and e-monitoring into the forefront of research, in which the recognition of motion …

This paper addresses the signal processing aspect of wireless sensor networks. It analyzes
several time and frequency domain features of measurements that are taken from 3D …

We present a model for digital neural impairment screening and self-assessment, which can
evaluate cognitive and motor deficits for patients with symptoms of central nervous system …

In this paper, we propose a gene expression based approach for the prediction of
Parkinson's disease (PD) using 'projection based learning for meta-cognitive radial basis …

Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor
(ET) subjects. The differential diagnosis of PD and ET tremor is important since the …

In this paper, we present a novel approach for the identification of critical brain regions
responsible for Parkinson's disease (PD) based on magnetic resonance images (MRI) using …

The possibility of using a radial basis function neural network (RBFNN) to accurately
recognise and predict the onset of Parkinson's disease tremors in human subjects is …

Taking into account two types of tremor, namely essential tremor (ET) and Parkinson's
disease (PD), which are often misdiagnosed in clinical practice, a novel approach using …