MATEC Web of Conferences
Volume 54, 20162016 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016)
|Number of page(s)||4|
|Section||Signal analysis and processing|
|Published online||22 April 2016|
Detection of R-Peaks in ECG Signal by Adaptive Linear Neuron (ADALINE) Artificial Neural Network
School of Biomedical Engineering, Konkuk University, Korea
This research proposes a new method to detect R-peaks in electrocardiogram by using the prediction value from adaptive linear neuron (ADALINE) artificial neural network. With this aim, the weights of four input neurons in ADALINE are updated for each encoded ECG vector-segment and the value of an output neuron is compared with the actual ECG followed by applying finite impulse response filter. Our simulated experiments with the MIT-BIH ECG database that represents the long-term recordings from the heart disease patients show that our proposed algorithm can detect R-peaks in ECG data with the accuracy of more than 99%.
Key words: ECG / R-peak / neural network / ADALINE / arrhythmia / Premature Ventricular Contraction / finite impulse response filter / MIT-BIT database
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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