Efficient Lossless Compression Scheme for Multi-channel ECG Signal

Tsung Han Tsai, Fong Lin Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

8 引文 斯高帕斯(Scopus)

摘要

Electrocardiogram (ECG) is the recording of the heart electrical activity and used to diagnose heart disease nowadays. The diagnosis requires a large amount of time for acquiring enough multi-channel data normally. Thus storage and transmission of 12 lead ECG data will result in massive cost. In this work, we propose a multi-channel ECG lossless compression which uses the adaptive linear prediction for intra and inter channel decorrelation. The proposed technique is based on the adaptive Golomb-Rice codec for entropy coding with adaptive linear prediction. Thus the coefficient of linear prediction and Golomb-Rice codec will make self-adjustment during the process. Finally we evaluate the proposed algorithm with MIT-BIH Arrhythmia database for single-channel compression, and PTB database for multichannel compression.

原文???core.languages.en_GB???
主出版物標題2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1289-1292
頁數4
ISBN(電子)9781479981311
DOIs
出版狀態已出版 - 5月 2019
事件44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
持續時間: 12 5月 201917 5月 2019

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2019-May
ISSN(列印)1520-6149

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
國家/地區United Kingdom
城市Brighton
期間12/05/1917/05/19

指紋

深入研究「Efficient Lossless Compression Scheme for Multi-channel ECG Signal」主題。共同形成了獨特的指紋。

引用此