45. FPGA Implementation of Low Power Pre-processor Design for Biomedical Signal Processing Application

A low-power pre-processor system is introduced to extract the informatory data from noisy biomedical signal. The proposed systems hardware is executed on ZedBoard (Zynq-7000) evaluation Field Programmable Gate Array (FPGA) board. The proposed methodology is based on the efficient pre-processor system that depletes low power & resources of FPGA: Windows and Wavelet. The comparison has been done among different windows and different wavelet-based pre-processor designs as per resource utilization and on-chip power. The inference has been drawn from the comparison that Haar wavelet consumes only 2.15% of LUTs, 12.19% of slice registers and only 25.45% of DSPs. The selected pre-processor design also consumes only 34mW of dynamic power & 110 mW of static/leakage power. In future, the introduced pre-processing system will be employed in wearable & portable biomedical equipment.