Author name: Glew Engineering

Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair. Interacting with a computer, or operate a small robotic vehicle without donning a bulky hair-electrode cap or contending with wires. This work reports fundamental strategies to design an ergonomic, portable EEG system for a broad range of assistive devices, smart home systems, and neuro-gaming interfaces. Not to mention, primary innovation is in the development of a fully integrated package of high-resolution EEG monitoring systems and circuits within a miniaturized skin-conformal system.” The Brain-Machine Interface (BMI) is an