A Study of Noise-Resilient Compression Algorithm for ECG Signals
| Autor: | Le, Trung-Hieu, 黎忠孝 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 The volume of ECG data produced by monitoring systems can be quite large, and data compression is needed for efficient transmission over mobile networks. We first propose a new method based on the multiple stage vector quantization in conjunction with gain-shape codebooks. The compression of ECG signals using JPEG2000 is also investigated. The good time-frequency localization properties of wavelets make them especially suitable for ECG compression applications. Also proposed is a method of ECG signal denoising based on Hilbert-Huang transform. This method uses empirical mode decomposition to decompose the signal into several intrinsic mode functions (IMFs) and then the noisy IMFs are removed by using soft-threshold method. Experiments using the MIT-BIH arrhythmia database illustrate that the proposed approach has improved the performance at a high compression ratio. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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