Objective Surface electromyography (sEMG) is a common electrophysiological assessment
used in clinical trials in individuals with spinal cord injury (SCI). This scoping review …

The classification of imbalanced datasets, especially in medicine, is a major problem in data
mining. Such a problem is evident in analyzing normal and abnormal subjects about knee …

Lower limb activity recognition utilizing body sensor data has attracted researchers due to its
practical applications, such as neuromuscular disease detection and kinesiological …

Stroke is associated with long‐term disability and patients experience numerous physical
impairments including muscle weakness, particularly in the paretic limbs, balance, and …

Knee abnormality is a vital issue that can be diagnosed utilizing a sEMG signal to detect
muscle abnormalities. Manually analyzing EMG data is time-consuming and requires skilled …

Rehabilitation of patients with neurological disorders is a life-long process accomplished
through pharmacological and non-pharmacological procedures for patient management …

The diagnosis of human knee abnormalities using the surface electromyography (sEMG)
signal obtained from lower limb muscles with machine learning is a major problem due to …

Pre-frail older adults require appropriate exercise to enhance muscle strength as well as
upper limb functionality. We developed a handheld vibrator and evaluated its effectiveness …

OBJECTIVE: To investigate the effects of myelotomy on locomotor recovery in rats subjected
to spinal cord injury. DATA SOURCES: Electronic databases including PubMed, Science …

Over the last decade, have been extensively investigated vibrations applied to the physical
and rehabilitation medicine, including the neurorehabilitation, a field where giant steps have …