An Efficient Lossless Compression Algorithm for Electrocardiogram Signals
| Autor: | Salvatore Serrano, Sarah Zanafi, Antonino Segreto, Giuseppe Campobello |
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| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
Computer science 020208 electrical & electronic engineering 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology ECG lossless compression RAKE Matrix decomposition Compression (functional analysis) 0202 electrical engineering electronic engineering information engineering Lossless compression algorithm Algorithm computer computer.programming_language Data compression |
| Zdroj: | EUSIPCO |
| DOI: | 10.23919/eusipco.2018.8553597 |
| Popis: | This paper focuses on a novel lossless compression algorithm which can be efficiently used for compression of electrocardiogram (ECG) signals. The proposed algorithm has low memory requirements and relies on a simple and efficient encoding scheme which can be implemented with elementary counting operations. Thus it can be easily implemented even in resource constrained microcontrollers as those commonly used in several low-cost ECG monitoring systems. Despite its simplicity, simulation results carried out on real-world ECG signals show that the proposed algorithm achieves higher compression ratios as even compared to other more complex state-of-the-art solutions. |
| Databáze: | OpenAIRE |
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