Efficient Electrocardiogram (ECG) Lossy Compression Scheme

被引：0
|
作者：
Hatim, Anas [1 ]
Latif, Rachid [2 ]
El Bachari, Oussama [2 ]
Arioua, Mounir [3 ]
机构：
[1] Ibn Zohr Univ, Natl Sch Appl Sci Agadir ENSA Agadir, Dept Ind, Agadir, Morocco
[2] Ibn Zohr Univ, Natl Sch Appl Sci ENSA Agadir, LISTI, Agadir, Morocco
[3] Abdelmalek Essaadi Univ, Natl Sch Appl Sci ENSA Tetouan, Tetouan, Morocco
来源：
PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2016年
关键词：
Compression; ECG; Delta coding; compration ratio; Biomedical signal processing; SIGNAL COMPRESSION; WAVELET; TELECARDIOLOGY; QUANTIZATION; TRANSFORM; ALGORITHM; VECTOR; SYSTEM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new electrocardiogram (ECG) lossy compression scheme has been developed. The algorithm can reach high compression ratios with a reduced error which makes it suitable for real-time electrocardiogram monitoring. The new algorithm is based on delta coding technique. Low and high coding categories were made to encode the differences and insure an optimized compressed signal. In addition the number of successive coded differences is flexible and defined with a window size. A new frame format was developed to transmit data. The algorithm has been verified using multiple and most frequent normal and pathological types of cardiac signals from MIT-BIH physionet data bases. The algorithm can reach a mean compression ratio of 33.45 and a mean PRD of 0.25%. The proposed algorithm has a low complexity and is very suitable for hardware designs.
引用
收藏
页码：151 / 156
页数：6
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