Electromyography (EMG) signals are instrumental in a variety of applications including
prosthetic control, muscle health assessment, rehabilitation, and workplace monitoring …

Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …

The centrifugal compressor is widely used in modern industry, and the blades are prone to
crack due to complex loads and working conditions. Owing to the fault features caused by …

The analysis of surface electromyography (sEMG) signals is significant in the detection of
muscle fatigue. These signals exhibit a great degree of complexity, nonlinearity, and chaos …

The lumbar EMG (Electromyography) can effectively reflect the current activity state of
human lumbar muscles; however, cardiac signals in the EMG significantly impacts the …

In practical scenarios involving the measurement of surface electromyography (sEMG) in
muscles, particularly those areas near the heart, one of the primary sources of contamination …

Subjectivity has been an inherent issue in the conventional Fugl-Meyer assessment, which
has been the focus of impairment-level recognition in several studies. This study continues …

Different signal frequencies from body tissues, muscles fat etc affects the EMG signals. The
signal frequencies from body organ can considered as noise which affects the output and …

Subjectivity has been an inherent issue in the conventional Fugl-Meyer assessment, which
has been the focus of recognition research in several studies. This paper continues our …

Electromyogram (EMG) signals can provide valuable insights into muscle activation and
health; however, achieving high-quality signals is challenging. EMG signals are susceptible …