UM
A Novel ECG Data Compression Method Based on Adaptive Fourier Decomposition
Tan, Chunyu; Zhang, Liming; Ishii, C; Capi, G; Zhou, J
2017
Conference Name2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND MACHINE VISION
Volume10613
Publication Place1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
PublisherSPIE-INT SOC OPTICAL ENGINEERING
AbstractThis paper presents a novel electrocardiogram (ECG) compression method based on adaptive Fourier decomposition (AFD). AFD is a newly developed signal decomposition approach, which can decompose a signal with fast convergence, and hence reconstruct ECG signals with high fidelity. Unlike most of the high performance algorithms, our method does not make use of any preprocessing operation before compression. Huffman coding is employed for further compression. Validated with 48 ECG recordings of MIT-BIH arrhythmia database, the proposed method achieves the compression ratio (CR) of 35.53 and the percentage root mean square difference (PRD) of 1.47% on average with N = 8 decomposition times and a robust PRD-CR relationship. The results demonstrate that the proposed method has a good performance compared with the state-of-the-art ECG compressors.
KeywordAdaptive Fourier decomposition (AFD) Data compression Electrocardiogram (ECG) Biomedical signal processing e-health
DOI10.1117/12.2299967
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Robotics ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Robotics ; Optics
WOS IDWOS:000425347100014
The Source to ArticleWOS
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Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Tan, Chunyu,Zhang, Liming,Ishii, C,et al. A Novel ECG Data Compression Method Based on Adaptive Fourier Decomposition[C]. 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA:SPIE-INT SOC OPTICAL ENGINEERING,2017.
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