@article {10.3844/ajassp.2009.187.193,
article_type = {journal},
title = {Quality Evaluation of Reconstructed Biological Signals},
author = {Alfaouri, Mikhled and Daqrouq, Khaled and Abu-Isbeih, Ibrahim N. and Khalaf, Emad F. and Al-Qawasmi, Abdel-Rahman and Al-Sawalmeh, Wael},
volume = {6},
year = {2009},
month = {Jan},
pages = {187-193},
doi = {10.3844/ajassp.2009.187.193},
url = {https://thescipub.com/abstract/ajassp.2009.187.193},
abstract = {This research presents the use of wavelet transforms for reconstructed signal evaluation for biological signals. The method adapted on this research, is a new modeling technique and based on calculating the reconstruction error of the wavelet transform sub-signals that have different frequency bands and different deformation degree. The paper processes a special set of application in biomedical field, called Electrocardiogram (ECG) signal. Compression applied on the electrocardiogram (ECG) and speech signals. Discrete Wavelet Transformation (DWT) with the thresholding compression method was applied to test the proposed reconstruction evaluation method. The proposed algorithm technique gave an excellent result showing that, using wavelet transform is a suitable technique for reconstruction signal evaluation. Also, the presented method determined the exact place and location of deformation in the reconstruction signal.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}