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KMID : 0372919910120030191
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Journal of Biomedical Engineering Research
1991 Volume.12 No. 3 p.191 ~ p.202
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A Study on ECG Data Compression Algorithm Using Neural Network
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Abstract
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This paper describes ECG data compression algorithm using neural network. As a learning method, we use back error propagation algorithm. ECG data compression is performed using learning ability of neural network. CSE database, which is sampled 12bit digitized at 500samp1e/sec, is selected as a input signal. In order to reduce unit number of input layer, we modify sampling ratio 250samples/sec in QRS complex, 125samples/sec in P & T wave respectively. hs a input pattern of neural network, from 35 points backward to 45 points forward sample Points of R peak are used.
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