Wearables developed for human body signal detection receive increasing attention in the
current decade. Compared to implantable sensors, wearables are more focused on body …

Gesture recognition technology is widely used in the flexible and precise control of
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …

To improve the classification accuracy of hand movements from sEMG signals, this paper
puts forward a unified hand gesture classification framework which exploits the potentials of …

Abstract Surface Electro-MyoGraphic (sEMG) signals recorded on the forearm can provide
information about the hand movement, which can help control a prosthetic implant for …

Prosthetic devices are vital for enhancing personal autonomy and the quality of life for
amputees. However, the rejection rate for electric upper-limb prostheses remains high at …

In this article, to reduce the complexity and improve the generalization ability of current
gesture recognition systems, we propose a novel SE-CNN attention architecture for sEMG …

Background In-home rehabilitation systems are a promising, potential alternative to
conventional therapy for stroke survivors. Unfortunately, physiological differences between …

Blueberries are rich in polyphenols, anthocyanins and vitamins. Products such as fermented
beverages are viable, as these fruits have a short shelf life and are difficult to preserve …

Over the last few years, there has been significant growth in neurological diseases which
drastically affect a person's ability to perform everyday tasks, reducing their overall well …

Surface electromyography (sEMG) is a non-invasive and straightforward way to allow the
user to actively control the prosthesis. However, results reported by previous studies on …