ECG Data Compression by Using Wavelet Transform (Special Section on ECG Data Compression)

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概要

• 論文の詳細を見る

• A new method for the compression of electrocardiographic (ECG) data is presented. The method is based on the orthonormal wavelet analysis recently developed in applied mathematics. By using wavelet transform, the original signal is decomposed into a set of sub-signals with different frequency channels corresponding to the different physical features of the signal. By utilizing the optimum bit allocation scheme, each decomposed sub-signal is treated according to its contribution to the total reconstruction distortion and to the bit rate. In our experiments, compression ratios (CR) from 13.5:1 to 22.9:1 with the corresponding percent rms difference (PRD) between 5.5% and 13.3% have been obtained at a clinically acceptable signal quality. Experimental results show that the proposed method seems suitable for the compression of ECG data in the sense of high compression ratio and high speed.

• 社団法人電子情報通信学会の論文
• 1993-12-25

著者

• Chen J

  Division Of Anatomy And Embryology Department Of Integrated Basic Medical Science Ehime University S

• 伊藤 晋一

  KEK物構研

• Chen Jie

  Div. Of Pneumoconiosis School Of Public Health China Medical Univ.

• Chen J

  Univ. Elrctro‐communications Chofu‐shi Jpn

• Chen J

  Yozan Inc. : Graduate School Of Information Systems University Of Electro-communications

• Chen Jie

  Faculty Of Bioresource Sciences Akita Prefectural University

• Itoh S

  Neutron Science Laboratory Institute Of Materials Structure Science High Energy Accelerator Research

• Itoh Shinichi

  Neutron Science Laboratory Institute Of Materials Structure Science High Energy Accelerator Research

• Hashimoto T

  Univ. Electro‐communications Tokyo

• Itoh Shuichi

  Faculty of Electro-Communications, University of Electro-Communications

• Hashimoto Takeshi

  Faculty of Electro-Communications, University of Electro-Communications

• Itoh S

  Univ. Electro-communications Chofu‐shi Jpn

• Chen Jie

  Faculty Of Bioresource Science Akita Prefectural University

• Chen Jie

  Division of Pneumoconiosis, School of Public Health, China Medical University

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