We propose a new method for detecting the onset of the stretch reflex response for
assessment of spasticity based on the Tonic Stretch Reflex Threshold (TSRT). Our strategy …

The electromyographic (EMG) signals are extensively used on feature extraction methods
for movement classification purposes. High-order statistics (HOS) is being employed …

This paper introduces a new approach for electromyography (EMG) activity monitoring
based on an improved version of the adaptive linear energy detector (ALED), a widely used …

This paper illustrates the accurate identification of the surface electromyography signal
obtained from the shoulder muscles (Teres, Trapezius and Pectoralis) of amputee subjects …

Impairments caused by limb deficiency, stroke, or spinal cord injury can significantly affect
an individual's ability to perform activities of daily living. Provided that sufficient …

Electromyography is gaining prominence in wearable electronic devices with improved
design of surface electrodes and increased demand in various fields such as health …

Fall detection and prevention technologies play a pivotal role in ensuring the well-being of
individuals, particularly those living independently, where falls can result in severe …

La detección de bordes de dominio en secuencias de rango continuo encuentra
aplicaciones en la detección del comienzo de una contracción muscular en electromiografía …

We present a novel algorithm for real-time detection of the onset of surface
electromyography signal in step-tracking wrist movements. The method identifies abrupt …

L'objectif de cette thèse est l'analyse des signaux EMG de surface et leur application au
diagnostic de la maladie de Parkinson (MP). Trois points ont été abordés dans cette thèse à …