Mohamed Moustafa Azmy

Alexandria University — Egypt

Medicine · Health Sciences

7h-index127citations23works0.82yr avg
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Research Topics

ECG Monitoring and Analysis(6), Phonocardiography and Auscultation Techniques(5), EEG and Brain-Computer Interfaces(4), Music and Audio Processing(3), Blind Source Separation Techniques(3)

Publications23 total

Detection of electrocardiogram atrial fibrillation using modified multifractal detrended fluctuation analysis based on discrete transforms and fractional Fourier transform
Discover Applied Sciences·2025Open Access
Detection of breast cancer using fractional discrete sinc transform based on empirical Fourier decomposition
Bio-Medical Materials and Engineering·2025
Deep learning approach for skin melanoma and benign classification using empirical wavelet decomposition
Technology and Health Care·2024· 2 cited
Feature extraction of electrocardiogram signals based on Wavelet Transform and Modulated Sine Modulated Filter Banks
The Egyptian International Journal of Engineering Sciences and Technology·2024Open Access
Gender of Fetus Identification Using Modified Mel-Frequency Cepstral Coefficients Based on Fractional Discrete Cosine Transform
IEEE Access·2024· 2 citedOpen Access
Deep Learning in IoT: An LSTM Approach for NDVI Forecasting
2023· 15 cited
Analysis of Electrocardiogram Signals Using Fourier Decomposed Method Based on Deep Learning
Research Square (Research Square)·2022Open Access
Analysis of COVID-19 Heavy Cough Sounds Using Bark Wavelet Cepstral Coefficients
The Egyptian International Journal of Engineering Sciences and Technology·2022Open Access
Comparative Analysis of Electrocardiogram Signals Using Several Discrete Transforms Based on Deep Learning
The Egyptian International Journal of Engineering Sciences and Technology·2022Open Access
Recognition of Epileptic Seizure in EEG Signals Using Wavelet Transform Based on Deep Learning
SSRN Electronic Journal·2022· 1 citedOpen Access
Recognition of Ultrasound Images of Breast Cancer Based on Discrete Sinc Transform and Deep Learning
International Journal of Cancer and Biomedical Research·2021Open Access
Mathematical and deep learning analysis based on tissue dielectric properties at low frequencies predict outcome in human breast cancer
Technology and Health Care·2021· 7 cited
Comparison of Denoising EEG Signals between Modified Non Local Means Filter and Wavelet Transform
2020
Feature extraction of heart sounds using velocity and acceleration of MFCCs based on support vector machines
2017· 6 cited
Heart sounds recognition using multifractal detrended fluctuation analysis and support vector machine
2017· 5 cited
Feature extraction of electrocardiogram signals using discrete sinc transform
2016· 7 cited
Classification of normal and abnormal heart sounds using new mother wavelet and support vector machines
2015· 17 cited
Classification of lung sounds based on linear prediction cepstral coefficients and support vector machine
2015· 16 cited
Classification of mental tasks using support vector machine based on linear predictive coding and new mother wavelet transform
2015· 4 cited
Respiratory Wheeze Sound Analysis Using Digital Signal Processing Techniques
2015· 4 cited
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Frequent Co-authors

Said E. El‐Khamy(2), Shawkii E. Shaaban(2), Ashraf Bakr(1), Amr Sarhan(1), Ayman Hammad(1), Mohamed Wael Ragab(1), Osama S. Salama(1), Fatma Al-Husseni(1), Khaled Sherif(1), Khder Alakkari(1), Mostafa Abotaleb(1), El‐Sayed M. El‐kenawy(1), Mamdouh M. Shawki(1), Mohammed Salama(1), Sanaa Shawki(1), Reem Mohamady(1), Radwa Magdy Rady(1), Ibrahim Mohamed El Akkary(1), Ahmed Nashaat Haroun(1), Nader Abd Elmoneum Fasseh(1)