대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1997년도 추계학술대회
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- Pages.439-442
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- 1997
Radial Basis Function 네트워크를 이용한 PVC 분류
Classification of PVC(Premature Ventricular Contraction) using Radial Basis Function network
초록
In our research, we will extract diagnostic parameters by LPC method and wavelet transform. Then, we will design artificial neural network which is based on RBF that can express input features in terms of fuzzy. Because PVC(Premature Ventricular Contraction) has possibility to cause heart attack, the detection of PVC is a very significant problem. To deal with this problem, LPC method which gives different coefficients or different morphologies and wavelet transform which has superior localization nature of time-frequency, are used to extract effective parameters or classification of normal and PVC. Because RBF network can allocate an input feature to the membership degree of each category, total system will be more flexible.
키워드