Biomedical Sensors and Subsystems

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A 4 µW/Ch Fully Integrated Analog Front-End Scaled Toward Massive Parallel Neural Recording
Khaled Al-Ashmouny, Sun-Il Chang, and Euisik Yoon
A block diagram of a 2D probe integrable 128:16 channels front-end
A block diagram of a 2D probe integrable 128:16 channels front-end

We report an analog front-end prototype designed in 0.25μm CMOS process for hybrid integration into 3-D neural recording microsystems. For scaling towards massive parallel neural recording, the prototype has investigated some critical circuit challenges in power, area, interface, and modularity. The front-end features an extremely low power consumption (4μW/channel), optimized energy efficiency using moderate inversion in the low-noise amplifier (K of 5.98x108 and NEF of 2.9) and the programmable-gain amplifier, a minimized asynchronous interface (only 2 per 16 channels) for command and data capturing, a power-scalable sampling and digital operation (up to 50kS/s/channel), and a wide configuration range (9-bit) of gain and bandwidth. The implemented front-end module has achieved a reduction in noise-energy-area product by a factor of 5-25 times as compared to the state-of-the-art front-ends reported up to date.

Updated 04/09/2012