ECG compression using non-recursive wavelet transform with quality control
| Autor: | Tsung-Ching Wu, King-Chu Hung, Je-Hung Liu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Discrete wavelet transform
Mathematical optimization Lifting scheme Second-generation wavelet transform Stationary wavelet transform 0206 medical engineering Wavelet transform 020206 networking & telecommunications Cascade algorithm Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology 020601 biomedical engineering Wavelet packet decomposition Wavelet 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Algorithm Mathematics |
| Zdroj: | International Journal of Electronics. :1-16 |
| ISSN: | 1362-3060 0020-7217 |
| DOI: | 10.1080/00207217.2016.1138513 |
| Popis: | While wavelet-based electrocardiogram (ECG) data compression using scalar quantisation (SQ) yields excellent compression performance, a wavelet’s SQ scheme, however, must select a set of multilevel quantisers for each quantisation process. As a result of the properties of multiple-to-one mapping, however, this scheme is not conducive for reconstruction error control. In order to address this problem, this paper presents a single-variable control SQ scheme able to guarantee the reconstruction quality of wavelet-based ECG data compression. Based on the reversible round-off non-recursive discrete periodised wavelet transform (RRO-NRDPWT), the SQ scheme is derived with a three-stage design process that first uses genetic algorithm (GA) for high compression ratio (CR), followed by a quadratic curve fitting for linear distortion control, and the third uses a fuzzy decision-making for minimising data dependency effect and selecting the optimal SQ. The two databases, Physikalisch-Technische Bundesanstalt ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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