On the parameterization of Hermite transform with application to the compression of QRS complexes
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- 作者：Milo&scaron ; Brajović ; milosb@ac.me" class="auth_mail" title="E-mail the corresponding author ; Irena Orović ; Milo&scaron ; Daković ; Srdjan Stanković
- 关键词：Concentration measures ; Gradient algorithm ; ECG signal ; Hermite function ; Hermite transform ; QRS complex
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：113-119
- 全文大小：526 K
文摘
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The algorithm for optimization of scaling factor and time-shift of Hermite functions is proposed.
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Parameters are optimized to provide the most concentrated representation of the observed signals.
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The simple iterative algorithm is based on gradient descent method.
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The concentration measure is employed as optimization criterion.
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The efficiency of the proposed approach is verified using both real and synthetic signals.
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The method is applied for QRS compression and tested on a database of QRS complexes.
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The efficiency is proven also for T waves of ECG signals and UWB signals.