Quality Evaluation of Reconstructed Biological Signals
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.
How to Cite
Alfaouri, M., Daqrouq, K., Abu-Isbeih, I. N., Khalaf, E. F., Al-Qawasmi, A. R. & Al-Sawalmeh, W. (2009). Quality Evaluation of Reconstructed Biological Signals. American Journal of Applied Sciences, 6(1), 187-193. https://doi.org/10.3844/ajassp.2009.187.193
© 2020 Mikhled Alfaouri, Khaled Daqrouq, Ibrahim N. Abu-Isbeih, Emad F. Khalaf, Abdel-Rahman Al-Qawasmi and Wael Al-Sawalmeh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- ECG signals
- speech signal
- data compression
- wavelet transform
- discrete wavelet transform