Faculty of Engineering, Jahrom University, Jahrom, Iran
Abstract
The recorded heart rate signals are impacted by various factors such as signals from urban vibrations, brain activity, and signals from muscle movements. These sources, referred to as "noise," can hinder the detection and diagnosis of main signals through medical analysis. Electrocardiogram (ECG) signals offer critical information for diagnosing diseases and gauging the efficacy of heart treatments, necessitating the development of filters to attenuate and remove such noises. In this paper, we will analyze three IIR-type digital filters: Butterworth, Chebyshev-I, and Chebyshev-II, designed to lessen 50 Hz urban noise. These filters were tested on various cardiac signals, revealing that Chebyshev-I filter is highly effective in reducing ECG signals in passband and stopbands
Derogar Jahromi, N., & Dehdashti Jahromi, H. (2023). An Investigation on The performance of Infinite Impulse Response Filters in Denoising Electrocardiogram Signals. Transactions on Machine Intelligence, 6(1), 11-20.
MLA
N. Derogar Jahromi; H. Dehdashti Jahromi. "An Investigation on The performance of Infinite Impulse Response Filters in Denoising Electrocardiogram Signals". Transactions on Machine Intelligence, 6, 1, 2023, 11-20.
HARVARD
Derogar Jahromi, N., Dehdashti Jahromi, H. (2023). 'An Investigation on The performance of Infinite Impulse Response Filters in Denoising Electrocardiogram Signals', Transactions on Machine Intelligence, 6(1), pp. 11-20.
VANCOUVER
Derogar Jahromi, N., Dehdashti Jahromi, H. An Investigation on The performance of Infinite Impulse Response Filters in Denoising Electrocardiogram Signals. Transactions on Machine Intelligence, 2023; 6(1): 11-20.
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