Penerapan Filter Digital untuk Menghilangkan Gangguan pada Sinyal Elektrokardiogram
Abstract
This research examines the application of Finite Impulse Response (FIR) filters in processing ECG signals to eliminate noise and enhance signal quality. Using ECG recordings from the MIT-BIH database, the original signal contaminated by noise was processed with FIR filters, and the results were compared with signals filtered using the Infinite Impulse Response (IIR) method. The analysis results indicate that FIR filters are effective in reducing noise and improving the accuracy of morphological analysis, with a post-filtering Signal-to-Noise Ratio (SNR) of 1.24 dB. Although the SNR improvement is still relatively low, this study highlights the importance of applying appropriate filtering techniques to support more accurate medical diagnoses. Future research is recommended to explore the performance comparison of FIR filters with other signal processing techniques, as well as efforts to further enhance signal quality and SNR.
Keyword: ECG Signal, FIR Filter, Signal Processing, Signal-to-Noise Ratio (SNR), Morphological Analysis
Keywords
References
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