Design Techniques of Energy-Efficient Electrical Neural Recording System
This paper reviews design techniques of the electrical neural recording system for energy-efficient operation. In order to operate neuroprosthetics by decoding action potentials and local field potentials in vivo, the electrical neural recording system is used. The recording system needs to be energy-efficiently driven by consuming low power and achieving low noise to extend battery lifetime in vivo and avoid tissue damage due to the heat. In this paper, three energy-efficient design techniques are reviewed with basic properties of the electrical neural recording system: 1) energy-efficient input structure of the amplifier, 2) front-end driven by the low supply voltage, and 3) neuronal activity-dependent recording system.