A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition with Security Guarantee in e-Health Applications
| Title | A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition with Security Guarantee in e-Health Applications |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Ma, J., Zhang, T., Dong, M. |
| Journal | Biomedical and Health Informatics, IEEE Journal of |
| Volume | PP |
| Pagination | 1-1 |
| ISSN | 2168-2194 |
| Keywords | Benchmark testing, Electrocardiography, encoding, Encryption, Informatics, Information security, Transforms |
| Abstract | 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 | 10.1109/JBHI.2014.2357841 |
| Citation Key | 6897915 |