Comparative Study on the Effect of Order and Cut off Frequency of Butterworth Low Pass Filter for Removal of Noise in ECG Signal
Subhadeep Basu, Samiul Mamud
Abstract
Removal of noise in ECG signal is an important aspect for the processing and analysis of signal. Since ECG is a low frequency signal, it can easily be corrupted by the external noise and artifacts. The main aim of the filtering is to eliminate the undesired frequency components while preserving the originality of the signal. Butterworth low pass filter is a fundamental type of IIR filter which is used widely in signal processing. The nature of the filtered output signal depends largely on the cut off frequency and order of the filter. This study aims to provide a comparative analysis of the cut off frequency and order of the filter on the ECG signal.
Topics & Concepts
Butterworth filterLow-pass filterFilter (signal processing)SIGNAL (programming language)Noise (video)Computer scienceHigh-pass filterSignal transfer functionBand-stop filterSignal processingInfinite impulse responseFilter designElectronic engineeringAcousticsAnalog signalDigital filterDigital signal processingEngineeringArtificial intelligencePhysicsComputer visionImage (mathematics)Programming languageECG Monitoring and AnalysisHeart Rate Variability and Autonomic ControlNon-Invasive Vital Sign Monitoring