Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly developing. This paper is a Part III …

Background: The assumption of this work is the achievement of objective results of the
movement structure, which forms the basis for in-depth analysis and, consequently, for …

Abstract Background Tui Na (Chinese massage) is a relatively simple, inexpensive, and non-
invasive intervention, and has been used to treat stroke patients for many years in China. Tui …

The integration of neural networks into robotic exoskeletons for physical rehabilitation has
become popular due to their ability to interpret complex physiological signals. Surface …

Stroke represents a medical emergency and can lead to the development of movement
disorders such as abnormal muscle tone, limited range of motion, or abnormalities in …

Introduction: Balance impairment is an important indicator to a variety of diseases. Early
detection of balance impairment enables doctors to provide timely treatments to patients …

Recently, the integration of neural networks into robotic exoskeletons for physical
rehabilitation has become popular due to their ability to interpret complex physiological …

The paper proposes a new computational approach to classification of motion capture data,
which is based on a low-rank approximation of multivariate time series containing …