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Design and Development of FPGA Based FIR Filter to De-Noise ECG Signal
Abstract
In modern technology signal denoising is most essential issue, digital filters play very significant role in removal of noise from signal. For the clinical diagnosis the heart activity can be observed from ECG signal extracted from human body. The analysis of the low frequency components in Electrocardiogram (ECG) signal is most important hence an attempt has been made in this research work, to enhance ECG using Distributed Arithmetic (DA) architecture of Finite Impulse Response Filter, which is based on FPGA using Xilinx System Generator software. Beth Israel Hospital (MIT-BIH) database is considered for getting ECG samples. Observation shows that FIR low pass Kaiser –Window method effectively removes the EMG noise without distortion of the ECG signal. Implementation of this system involves Xilinx chip of Spartan 3E XC3S500e-4fg320 and Xilinx System Generator 10.1 with Matlab Version7.4.0 (2007a).
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References
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