Assessment of Cardiac Health, based on ANN analysis on ECG signals

Nayak, Subramanya G and Nayak, Dayananda and Chandrasekharappa, T G S (2012) Assessment of Cardiac Health, based on ANN analysis on ECG signals. In: Proceedings of International conference on Information Communication & Embedded Systems , February 24 & 25, 2012, S.A Engineering College .

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Abstract

Electrocardiogram is one important physiological signal which is used in assessing cardiac health. The extraction of features used for identification of the state of ECG is discussed in this paper. Using MAT LAB programs/tools, different statistical features are extracted from both normal and arrhythmia spectra. These features include arithmetic median, variance, residuals on curve fitting etc. The values of the feature vector reveal information regarding cardiac health state/ Then a classical multilayer feed forward neural network with back propagation algorithm is employed to serve as a classifier of the feature vector giving 100% successful results for the specific data set considered.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Terms-Electrocardiogram, Linear Prediction Coefficients. Neural Network.
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 29 Feb 2012 11:04
Last Modified: 29 Feb 2012 11:04
URI: http://eprints.manipal.edu/id/eprint/3407

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