A prototype prosthetic hand that can successfully execute signals sent from the brain has been tested. According to a report on December 17 by the website 'New Scientist', this prosthetic hand has operated using signals from the brain of a woman suffering from quadriplegia - paralysis of both arms and legs. The movement range of the prosthetic hand is about 10 degrees, but it has managed to move all objects, including irregularly shaped stones. In one experiment shown in a video of the test, this prosthetic hand successfully picked up and moved an egg. While robotic and prosthetic hands can perform such tasks independently, the unique feature of this experiment is the integration of command responsiveness of artificial limbs from neurons or nerve cells. The 'Pittsburgh Gazette' has also reported on this project and detailed it. This project was conducted at the University of Pittsburgh in Pennsylvania, USA, under the management of 'Jennifer Collinger'. For this work, two local sensors were installed on the left side of the brain, which controls the right side of the body. These sensors capture brain signals and send them to a computer that translates and sends them to the prosthetic hand on a screen with 96 sensor points. A video was published on YouTube by 'Carl Zimmer', a science writer for the blog 'Loom'.
Prosthetic Hand Controlled by Brain Signals Successfully Tested
A new prosthetic hand that can be controlled by brain signals has been successfully tested on a woman with quadriplegia. This innovation represents a significant advancement in the field of prosthetics, combining neural signals with robotic technology. The project was led by researchers at the University of Pittsburgh.
👥 Key Players
📰 What Happened
A prototype prosthetic hand that can be controlled by brain signals was successfully tested on a woman with quadriplegia. This innovation marks a significant step forward in integrating neural signals with robotic prosthetics.
- The prosthetic hand can move objects, including irregularly shaped items, using brain signals.
- The project involved installing sensors on the brain to capture signals that control the prosthetic.
💡 Why It Matters
📚 Background
Prosthetic technology has evolved significantly, with recent developments focusing on integrating neural signals to improve functionality for users with disabilities.
🏷️ Entities Mentioned
Translated from the original and edited for English readers. View original source →
Translation confidence: 85%