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
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
相关论文
共 50 条
  • [1] On the Improved Correlative Prediction Scheme for Aliased Electrocardiogram (ECG) Data Compression
    Gao, Xin
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 6180 - 6183
  • [2] EFFICIENT LOSSLESS COMPRESSION SCHEME FOR MULTI-CHANNEL ECG SIGNAL
    Tsai, Tsung-Han
    Tsai, Fong-Lin
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 1289 - 1292
  • [3] Hybrid Lossless and Lossy Compression Technique for ECG Signals
    Nemati, Kamyar
    Ramakrishnan, Kannan
    2017 IEEE 3RD INTERNATIONAL CONFERENCE ON SENSING, SIGNAL PROCESSING AND SECURITY (ICSSS), 2017, : 450 - 455
  • [4] WAVELET TRANSFORM SELECTION FOR THE COMPRESSION OF THE ELECTROCARDIOGRAM (ECG) SIGNAL
    Mohamed, Benaissa
    Abdelghani, Djebbari
    Fethi, Bereksi Reguig
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2004, 4 (03) : 311 - 320
  • [5] Efficient Lossy Compression of Ultrasound Data
    Kleparnik, Petr
    Zemcik, Pavel
    Jaros, Jiri
    2017 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2017, : 232 - 237
  • [6] Quincunx lifting scheme for lossy image compression
    Gouze, A
    Antonini, M
    Barlaud, M
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2000, : 665 - 668
  • [7] Computationally efficient ECG compression scheme using a non-linear quantizer
    Cassen, M
    English, MJ
    COMPUTERS IN CARDIOLOGY 1997, VOL 24, 1997, 24 : 283 - 286
  • [8] Efficient lossless compression scheme for multi-channel ECG signal processing
    Tsai, Tsung-Han
    Tsai, Fong-Lin
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 59 (59)
  • [9] ECG compression by efficient coding
    Guilhon, Denner
    Barros, Allan K.
    Comani, Silvia
    INDEPENDENT COMPONENT ANALYSIS AND SIGNAL SEPARATION, PROCEEDINGS, 2007, 4666 : 593 - +
  • [10] The effect of lossy ECG compression on QRS and HRV feature extraction
    Twomey, Niall
    Walsh, Noel
    Doyle, Orla
    McGinley, Brian
    Glavin, Martin
    Jones, Edward
    Marnane, W. P.
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 634 - 637