Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on ECG Oata Compression Algorithm Using Neural Network

신경회로망을 이용한 심전도 데이터 압축 알고리즘에 관한 연구

  • 김태국 (연세대학교 전기공학과) ;
  • 이명호 (연세대학교 전기공학과)
  • Published : 1991.09.01
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Abstract

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.

Keywords

References

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