In individuals with sensory-motor impairments, missing limb functions can be restored using
neuroprosthetic devices that directly interface with the nervous system. However, restoring …

Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities.
Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can …

Natural control methods based on surface electromyography (sEMG) and pattern
recognition are promising for hand prosthetics. However, the control robustness offered by …

Hand prostheses controlled by surface electromyography are promising due to the non-
invasive approach and the control capabilities offered by machine learning. Nevertheless …

Wearable electronics is a rapidly growing field that recently started to introduce successful
commercial products into the consumer electronics market. Employment of biopotential …

High-density surface electromyography (HD-sEMG) is to record muscles' electrical activity
from a restricted area of the skin by using two dimensional arrays of closely spaced …

Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …

Thin, soft, and elastic electronics with physical properties well matched to the epidermis can
be conformally and robustly integrated with the skin. Materials and optimized designs for …

Myoelectric hand prostheses are usually controlled with two bipolar electrodes located on
the flexor and extensor muscles of the residual limb. With clinically established techniques …

Objective. Deep learning models can learn representations of data that extract useful
information in order to perform prediction without feature engineering. In this paper, an …