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This paper presents a hardware implementation of a Finite Impulse Response (FIR) filter for processing ECG signals on an FPGA, designed to improve processing speed over traditional software methods. The FIR filter, optimized using the Kaiser Window method, achieves processing speeds up to 1,250 times faster than software implementations, while also reducing hardware costs through operation scheduling and resource allocation techniques. The study demonstrates the effectiveness of custom hardware designs in r

Author

arkhit

Language

EN