Effectiveness Analysis of Infinite Impulse Response Digital Filter on Electrocardiogram Signal to Extract Respiration Rate Signal

Abstract

Respiration Rate (RR) is the number of respirations or movements that determine inspiration and expiration calculated in breaths per minute (BrPM). The Respiration Rate Signal can be extracted from an electrocardiogram signal (ECG-Derived Respiration). There have been many studies to extract the respiration rate signal from the ECG signal but there has been no study on the effectiveness of extracting the respiration rate signal with a digital filter, therefore, this study aimed to determine the effectiveness of the Infinite Impulse Response (IIR) digital filter in the design of the Butterworth Filter and the Chebyshev I filter based on the selection of different orders, namely orders 4, 6, and 8 to extract the Lead II Electrocardiogram signal-based Respiration Rate signal. This study used the AD8232 ECG module, Arduino Nano, Ms. Excel, and MATLAB. The method used to analyze the signal was the Fast Fourier Transform (FFT) method. The tricks were to determine the components of the mean frequency, the mean power frequency, and the mean power frequency respiration rate obtained from the use of the IIR digital filter on respondents which would be compared with the gold standard in the form of phantom. The results were analyzed using a correlation analysis where in the Butterworth filter, the highest correlation value is 0.996 in order 6 while in the Chebyshev I filter, the highest correlation value is 0.999 in order 8. It can be concluded that the Chebyshev I digital filter of order 8 has the best effectiveness value.