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Synapse
April 1, 2015

Removal of noise from electrocardiogram using digital FIR and IIR filters with various methods

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Why the study?

Which digital filter method provides the best noise reduction for ECG signals?

Population

Normal and abnormal electrocardiogram (ECG) waveforms from the MIT-BIH database

Comparison

Digital FIR filters and IIR filters vs Noisy ECG signals and comparison between…

Design

Other

Authors

KKK. Sravan KumarBYBabak YazdanpanahPKPrashant Kumar

Discussion

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Member takes

Overview

May aid ECG preprocessing pipelines; leaves open prospective validation before clinical adoption.

Structured PICO

Which digital filter method provides the best noise reduction for ECG signals?

P
Population
Normal and abnormal electrocardiogram (ECG) waveforms from the MIT-BIH database
I
Intervention
Digital FIR filters (Rectangular, Hann, Blackman, Hamming, and Kaiser window techniques) and IIR filters (Butterworth, Chebyshev I, Chebyshev II, and Elliptic filters)
C
Comparator
Noisy ECG signals and comparison between different filter types and orders
O
Outcome
Noise reduction performance measured by power spectrum density, signal to noise ratio (SNR), and mean square error (MSE)surrogate

A digital FIR filter with a Kaiser Window of order 56 is highly effective for removing noise from ECG signals, which may improve the accuracy of automated and manual ECG interpretation.

Cite This Study

Kumar et al. (2015) studied this question.

synapsesocial.com/papers/69d5706f75589c71d767dbc0https://doi.org/10.1109/iccsp.2015.7322780
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