Performance Analysis of FIR Digital Filter using Artificial Neural Network for ECG Signal

Autori

  • Seema Verma
  • R. P. Narwaria
  • Ravikant Prajapati

Parole chiave:

Finite impulse response (FIR), signal to noise ratio (SNR), dataset, multilayer perceptron

Abstract

In performance of electrocardiography (ECG) signal, signal acquisition must be noise free. This paper deals with the application of the digital finite impulse response (FIR) filter on the raw ECG signal. In this paper different window techniques used to design FIR filter and their signal to noise ratio are compared. The dataset configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results of signal to noise ratio are shown.

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Pubblicato

2013-09-13

Fascicolo

V. 3 N. 2 (2013)

Sezione

Research Articles

Licenza

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