Presentation | 1997/9/19 Nonlinear Prediction Coding of ECG Masaomi KOIZUMI, Noritaka MATUOKA, Yasunari YOKOTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A coding method for the compression of discrete electrocardiogram (ECG) is proposed. The method is based on nonlinear prediction in which Volterra functional series model or 3 layered Neural Network Model is employed as a nonlinear autoregressive model. It has been shown that there is no substantial improvement of prediction error even if using greater than 2 or 3 prediction order in linear prediction of ECG. Our numerical experiments indicate that the proposed nonlinear prediction technique extremely decrease the prediction error in QRS complex. It means that QRS complex includes nonlinearities, which could not be sufficiently eliminated by conventional linear prediction. The designed ECG coder can provide less bit rate, or higher performances than both linear prediction and wavelet orthogonal transform coders. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Volterra functional series / Neural network / Nonlinear prediction / Prediction coding / Data compression |
Paper # | NLP97-79 |
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Committee | NLP |
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Conference Date | 1997/9/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Nonlinear Prediction Coding of ECG |
Sub Title (in English) | |
Keyword(1) | Volterra functional series |
Keyword(2) | Neural network |
Keyword(3) | Nonlinear prediction |
Keyword(4) | Prediction coding |
Keyword(5) | Data compression |
1st Author's Name | Masaomi KOIZUMI |
1st Author's Affiliation | Electronics and Computer Engineering Division, Graduate School of Engineering, Gifu University() |
2nd Author's Name | Noritaka MATUOKA |
2nd Author's Affiliation | Electronics and Computer Engineering Division, Graduate School of Engineering, Gifu University |
3rd Author's Name | Yasunari YOKOTA |
3rd Author's Affiliation | Department of Information Science, Faculty of Engineering, Gifu University |
Date | 1997/9/19 |
Paper # | NLP97-79 |
Volume (vol) | vol.97 |
Number (no) | 258 |
Page | pp.pp.- |
#Pages | 8 |
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