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An artificial-intelligence approach to ECG analysis

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5 Author(s)
Li Gang ; Coll. of Precision Instrum. & Photo-Electron. Eng., Tianjin Univ., China ; Ye Wenyu ; Lin Ling ; Yu Qilian
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The issue we address in this article is how to reduce the computational burden by using an algorithm based on a linear-approximation distance-thresholding compression technique combined with the backpropagation neural network method. We also address how to improve the training speed. The experimental results found with the MIT-BIH database show that the new algorithm is faster in convergence and more accurate in feature recognition than existing methods.

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:19 ,  Issue: 2 )

Date of Publication:

March-April 2000

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