An Efficient ECG Lossless Compression System for Embedded Platforms with Telemedicine Applications

Tsung Han Tsai, Wei Ting Kuo

研究成果: 雜誌貢獻期刊論文同行評審

40 引文 斯高帕斯(Scopus)

摘要

This paper presents a method for wireless ECG compression and zero lossless decompression using a combination of three different techniques in order to increase storage space while reducing transmission time. The first technique used in the proposed algorithm is an adaptive linear prediction; it achieves high sensitivity and positive prediction. The second technique is content-adaptive Golomb-Rice coding, used with a window size to encode the residual of prediction error. The third technique is the use of a suitable packing format; this enables the real-time decoding process. The proposed algorithm is evaluated and verified using over 48 recordings from the MIT-BIH arrhythmia database, and it shown to be able to achieve a lossless bit compression rate of 2.83× in Lead V1 and 2.77× in Lead V2. The proposed algorithm shows better performance results in comparison to previous lossless ECG compression studies in real time; it can be used in data transmission methods for superior biomedical signals for bounded bandwidth across e-health devices. The overall compression system is also built with an ARM M4 processor, which ensures high accuracy performance and consistent results in the timing operation of the system.

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文章編號8418357
頁(從 - 到)42207-42215
頁數9
期刊IEEE Access
6
DOIs
出版狀態已出版 - 21 7月 2018

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