Machine-learning techniques are suitably employed for gait-event prediction from only
surface electromyographic (sEMG) signals in control subjects during walking. Nevertheless …

The assessment of muscle-recruitment timing from electromyography (EMG) signal is
relevant in different fields, including clinical gait analysis and robotic systems to interpret …

The analysis of gait rhythm by pattern recognition can support the state-of-the-art clinical
methods for the identification of neurodegenerative diseases (NDD). In this study, we …

Legs are the contact point of humans during walking. In fact, leg muscles react when we
walk in different conditions (such as different speeds and paths). In this research, we …

Power line interference (PLI) is a major source of noise in sEMG signals. As the bandwidth
of PLI overlaps with the sEMG signals, it can easily affect the interpretation of the signal. The …

The purpose of this study was to examine the changes in muscular activity between the left
and right lower legs during gait in healthy children throughout temporal parameters of EMG …

BACKGROUND: Walking is one of the important actions of the human body. For this
purpose, the human brain communicates with leg muscles through the nervous system …

Hemiplegia affects a significant portion of the human population. It is a condition that causes
motor impairment and severely reduces the patient's quality of life. This paper presents an …

Hemiplegia is a condition caused by brain injury and affects a significant percentage of the
population. The effect of patients suffering from this condition is a varying degree of …

Electromyography (EMG) onsets determined by computerized detection methods have been
compared against the onsets selected by experts through visual inspection. However, with …