TY - JOUR AU - ZAMANIAN, Hanieh AU - FARSI, Hasan PY - 2019/06/06 Y2 - 2024/03/29 TI - Improved Multichannel ECG Signal Compression Based on Discrete Wavelet Transform and a Special Scanning Method JF - International Journal of Natural and Engineering Sciences JA - ijnes VL - 9 IS - 1 SE - Articles DO - UR - https://ijnes.org/index.php/ijnes/article/view/224 SP - 27-33 AB - <p>Electrocardiography is one of basic investigative methods in cardiology through which all necessary information about electrical activity<br>of the heart can be collected. Recorded Electrocardiogram, ECG, signals which are huge in size, not only used for diagnosis purpose but it is<br>also stored for future reference. Therefore, compression of huge amount of ECG signal data is required to keep these records for observing a<br>patient. This paper proposes a novel approach to compress a 12-lead set of ECG waveform jointly. The proposed method provides a<br>reasonable trade-off between distortion and compression ratio by using a lossy compression technique. The technique exploits inter-channel<br>correlation of signals in cardio-complex leads by using 1-D wavelet and a special scanning method that improves compression performance.<br>Also we find the best threshold for wavelet coefficients via optimization algorithms. It is shown that the compression ratio of this approach<br>for percent root mean square difference (PRD) equal to almost 5% is higher than similar methods. At the end, we use a zip algorithm to<br>achieve more compression.</p> ER -