Intelligent Detection of Heart Disorders

Intelligent Detection of Heart Disorders

Copyright: © 2014 |Pages: 30
DOI: 10.4018/978-1-4666-6146-2.ch010
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Abstract

In this chapter, the first stage for detecting heart disorders (that is, noise removal) is explained. Two intelligent approaches based on Self Organizing Map (SOM) and Particle swarm Optimization (PSO) are used to train the feedforward neural network for noise removal. The trained ANNs are used to find the cutoff frequency. Then the found cutoff frequency is applied by a bandpass FIR filter for ECG noise removal.
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3 Methodology Stages

A database of 100 lead II ECG signals was obtained from the Physiobank database. Figure 1 shows the simplified overall algorithm for the classification.

Figure 1.

Flowchart of overall methodology for ECG classification

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