Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …

Disease identification and classification relies on Feature Selection (FS) to find the relevant
features for accurate medical diagnosis. FS is an optimization problem solved with the help …

Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …

Parkinson's disease (PD) is one of most disabling disorders of the central nervous system.
The motor symptoms of Parkinson's disease: shaking, rigidity, slowness of movement …

With the recent development of microelectromechanical systems (MEMS), inertial sensors
have become widely used in the research of wearable gait analysis due to several factors …

Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …

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

Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial
applications from navigation systems to guidance and robotics. Their use in clinical practice …

A detailed and quantitative gait analysis can provide evidence of various gait impairments in
elderly people. To provide an objective decision-making basis for gait analysis, simple …