Multiwave:A Wavelet-Based ECG Data Compression Algorithm (Special Section on ECG Data Compression)

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概要

• 論文の詳細を見る

• MultiWave data compression algorithm is based on the multiresolution wavelet technique for decomposing Electrocardiogram (ECG) signals into their coarse and successively more detailed components. At each successive resolution, or scale, the data are convolved with appropriate filters and then the alternate samples are discarded. This procedure results in a data compression rate that increases on a dyadic scale with successive wavelet resolutions. ECG signals recorded from patients with normal sinus rhythm, supraventricular tachycardia, and ventricular tachycardia are analyzed. The data compression rates and the percentage distortion levels at each resolution are obtained. The performance of the MultiWave data compression algorithm is shown to be superior to another algorithm (the Turning Point algorithm) that also carries out data reduction on a dyadic scale.

• 社団法人電子情報通信学会の論文
• 1993-12-25

著者

• Sun Yi-chun

  Department Of Biomedical Engineering Johns Hopkins University

• Thakor NitishV.

  Department of Biomedical Engineering, Johns Hopkins University

• Rix Herve

  Universite de Nice, Laboratoire de Signaux al Systems

• Caminal Pere

  Institut de Cibernetica, Universitat Politecnica Barcelona Diagonal

• Rix Herve

  Universite De Nice Laboratoire De Signaux Al Systems

• Caminal Pere

  Institut De Cibernetica Universitat Politecnica Barcelona Diagonal

• Thakor Nitishv.

  Department Of Biomedical Engineering Johns Hopkins University

関連論文

• Multiwave:A Wavelet-Based ECG Data Compression Algorithm (Special Section on ECG Data Compression)

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