Introduction Muscle synergies have been proposed as a strategy employed by the central
nervous system to control movements. Muscle synergy analysis is a well-established …

Sensor-based assessments in medical practice and rehabilitation include the measurement
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …

Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical
activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques …

This study investigates the muscle modules involved in the increase of walking speed in
radiographical and asymptomatic knee osteoarthritis (KOA) patients using tensor …

The progressive aging of the population and the consequent growth of individuals with
neurological diseases and related chronic disabilities, will lead to a general increase in the …

According to the modular hypothesis for the control of movement, muscles are recruited in
synergies, which capture muscle coordination in space, time, or both. In the last two …

Objective Although gait analysis has been widely adopted to describe Parkinson's disease
(PD) dysfunctions during walking, few efforts have been made to understand muscle activity …

In this paper, we present a novel muscle synergy extraction method based on multivariate
curve resolution–alternating least squares (MCR-ALS) to overcome the limitation of the …

Key points It is theorized that the nervous system controls groups of muscles together as
functional units, or 'synergies', resulting in correlated electromyographic (EMG) signals …

The estimation of the body's center of mass (CoM) trajectory is typically obtained using force
platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory …