Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Background and objective Parkinson's disease (PD) is considered a degenerative disorder
that affects the motor system, which may cause tremors, micrography, and the freezing of …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Classification on high-dimensional data with thousands to tens of thousands of dimensions
is a challenging task due to the high dimensionality and the quality of the feature set. The …

Various sources of variation in observed response in clinical trials and clinical practice are
considered, and ways in which the corresponding components of variation might be …

Vibration study is a key aspect in the field of mechanics, aviation or human health for
detecting, monitoring and controlling. The role of movement, tremor vitally decides the …

Background Slowness of movement, known as bradykinesia, is the core clinical sign of
Parkinson's and fundamental to its diagnosis. Clinicians commonly assess bradykinesia by …

Despite having notable advantages over established machine learning methods for time
series analysis, reservoir computing methods, such as echo state networks (ESNs), have yet …

Animal models of human disease provide an in vivo system that can reveal molecular
mechanisms by which mutations cause pathology, and, moreover, have the potential to …

Background There is an urgent need for developing objective, effective and convenient
measurements to help clinicians accurately identify bradykinesia. The purpose of this study …