Low-Power Digital Signal Processing for an Implantable Neural Recording System
نویسنده
چکیده
In this paper, we describe the design of digital signal processing components for a fully-implantable, wireless neural recording system. The digital signal processing is intended to extract neural signals from a noisy background and thereby enable more efficient use of transmission bandwidth. Low power consumption is critical to the system. To this end, the algorithms for the digital signal processing are simplified as much as possible. The use of static CMOS logic vs. pass transistor logic is considered. Low supply voltage operation is also investigated. The signal processing modules are designed for a commercially available 0.5 μm process.
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تاریخ انتشار 2006