BrainCo Bionic Hand Translates Muscle and Neural Signals for Finger Control

TechEBlog reported that BrainCo has developed an intelligent bionic hand that allows individuals who have lost a hand to move individual prosthetic fingers. The system processes signals that continue to travel through the user's remaining arm to restore precise movement. [1]

According to TechEBlog, sensors placed in a simple cuff against the skin detect electrical activity generated by muscles when a person attempts to move. These sensors also pick up the weaker neural impulses that accompany those intentions, which software then converts into precise physical actions. [1]

Bionics applies biological methods and systems found in nature to modern technology and engineering design [2]. Computational models known as artificial neural networks draw inspiration from the structure and functions of biological neural networks [4]. [2][4]

As HEROIC BREAKING NEWS reported earlier, researchers have also been working to improve prosthetic precision using feedback mechanisms. A study led by Elif Hocaoglu at Istanbul Medipol University found that mild pain signals in a tactile feedback system helped reduce grasp errors during virtual tests. [5]