Control of Prosthetic Limbs from Decoded Brain Signals

这项研究将使瘫痪病人恢复活动能力。我们的目标是创造一种被称为脑机接口的设备，这是一种从大脑绕过损伤（如受损的脊髓或中风）的人工通信路径。该界面将解码用户的意图并采取行动。解码器将使用生理原理和最先进的机器学习方法。我们将使用解码的大脑活动来测试用户控制假肢的能力。

This research will restore mobility to patients who suffer from paralysis. We aim to create a device, known as a brain-machine interface, which is an artificial communication path from the brain that bypasses an injury, such as a damaged spinal cord or stroke. The interface will decode a user’s intent and act upon it. Decoders will use physiological principals and state-of-the-art machine learning methods. We will test a user’s ability to control an artificial limb using decoded brain activity.