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 …

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 …

Simple Summary Managing fish feeding well is important for both making fish farming better
and kee** aquatic environments healthy. By looking at the sounds fish make, this study …

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 …

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

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 …

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

This research introduces a novel dual-pathway convolutional neural network (DP-CNN)
architecture tailored for robust performance in Log-Mel spectrogram image analysis derived …