A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition With Security Guarantee in e-Health Applications
This paper presents a novel electrocardiogram (ECG) compression method for e-health applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with a symbol substitution (SS) technique. The compression consists of two stages: first stage AFD executes efficient lossy compre...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2015-05, Vol.19 (3), p.986-994 |
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| container_title | IEEE journal of biomedical and health informatics |
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| creator | Ma, JiaLi Zhang, TanTan Dong, MingChui |
| description | This paper presents a novel electrocardiogram (ECG) compression method for e-health applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with a symbol substitution (SS) technique. The compression consists of two stages: first stage AFD executes efficient lossy compression with high fidelity; second stage SS performs lossless compression enhancement and built-in data encryption, which is pivotal for e-health. Validated with 48 ECG records from MIT-BIH arrhythmia benchmark database, the proposed method achieves averaged compression ratio (CR) of 17.6-44.5 and percentage root mean square difference (PRD) of 0.8-2.0% with a highly linear and robust PRD-CR relationship, pushing forward the compression performance to an unexploited region. As such, this paper provides an attractive candidate of ECG compression method for pervasive e-health applications. |
| doi_str_mv | 10.1109/JBHI.2014.2357841 |
| format | Article |
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| subjects | Algorithms Benchmark testing Compressing Computer Security Confidentiality Data compression Data Compression - methods Decomposition Electrocardiography Electrocardiography - methods Encoding Encryption Fourier Analysis Health Humans Informatics Information security Medical Informatics Symbols Telemedicine Transforms |
| title | A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition With Security Guarantee in e-Health Applications |
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