As cardiovascular disorders are prevalent, there is a growing demand for reliable and
precise diagnostic methods within this domain. Audio signal-based heart disease detection …

sEMG (surface electromyography) signals have been widely used in rehabilitation medicine
in the past decades because of their non-invasive, convenient and informative features …

In clinical datasets, missing data often occur due to various reasons including non-response,
data corruption, and errors in data collection or processing. Such missing values can lead to …

The key to sEMG (surface electromyography)-based control of robotic hands is the utilization
of sEMG signals from the affected hand of amputees to infer their motion intentions. With the …

Surface electromyogram (sEMG)-based gesture recognition has emerged as a promising
avenue for developing intelligent prostheses for upper limb amputees. However, the …

Surface electromyography (sEMG) has been the subject of investigation for the control of
myoelectric prosthesis since the 1960s. Ongoing research seeks to improve existing …

Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying
hand gestures efficiently with EMG signals presents numerous challenges. In addition to …

The susceptibility of mechanomyography (MMG) signals acquisition to sensor donning and
doffing, and the apparent time-varying characteristics of biomedical signals collected over …

Objective. Upper limb loss can profoundly impact an individual's quality of life, posing
challenges to both physical capabilities and emotional well-being. To restore limb function …

The emergence of wearable myoelectric armbands has greatly enhanced the convenience
and efficiency of users in utilizing myoelectric gesture control interfaces. However, in …