| Discriminating between patients with Parkinson’s and neurological diseases using cepstral analysis A Benba, A Jilbab, A Hammouch IEEE transactions on neural systems and rehabilitation engineering 24 (10 …, 2016 | 106 | 2016 |
| Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease A Benba, A Jilbab, A Hammouch, S Sandabad 2015 International conference on electrical and information technologies …, 2015 | 97 | 2015 |
| Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 19, 449-456, 2016 | 76 | 2016 |
| Detecting patients with Parkinson's disease using Mel frequency cepstral coefficients and support vector machines A Benba, A Jilbab, A Hammouch International Journal on Electrical Engineering and Informatics 7 (2), 297, 2015 | 59 | 2015 |
| Using human factor cepstral coefficient on multiple types of voice recordings for detecting patients with Parkinson's disease A Benba, A Jilbab, A Hammouch Irbm 38 (6), 346-351, 2017 | 50 | 2017 |
| Voice analysis for detecting persons with Parkinson’s disease using MFCC and VQ A Benba, A Jilbab, A Hammouch The 2014 international conference on circuits, systems and signal processing …, 2014 | 39 | 2014 |
| Hybridization of best acoustic cues for detecting persons with Parkinson's disease A Benba, A Jilbab, A Hammouch 2014 Second World Conference on Complex Systems (WCCS), 622-625, 2014 | 35 | 2014 |
| Voice assessments for detecting patients with Parkinson’s diseases using PCA and NPCA A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 19, 743-754, 2016 | 31 | 2016 |
| Novel PCG analysis method for discriminating between abnormal and normal heart sounds O El Badlaoui, A Benba, A Hammouch Irbm 41 (4), 223-228, 2020 | 28 | 2020 |
| Voiceprint analysis using Perceptual Linear Prediction and Support Vector Machines for detecting persons with Parkinson’s disease A Benba, A Jilbab, A Hammouch The 3rd international conference on health science and biomedical systems, 22-24, 2014 | 25 | 2014 |
| VOICE ANALYSIS FOR DETECTING PERSONS WITH PARKINSON'S DISEASE USING PLP AND VQ. A Benba, A Jilbab, A Hammouch Journal of Theoretical & Applied Information Technology 70 (3), 2014 | 24 | 2014 |
| Voice analysis for detecting patients with Parkinson's disease using the hybridization of the best acoustic features A Benba, A Jilbab, A Hammouch International Journal on Electrical Engineering and Informatics 8 (1), 108, 2016 | 21 | 2016 |
| Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection A El Attaoui, S Largo, S Kaissari, A Benba, A Jilbab, A Bourouhou IET Wireless Sensor Systems 10 (6), 320-332, 2020 | 20 | 2020 |
| A hybrid method for the diagnosis and classifying parkinson's patients based on time–frequency domain properties and K-nearest neighbor Z Soumaya, BD Taoufiq, N Benayad, B Achraf, A Ammoumou Journal of Medical Signals & Sensors 10 (1), 60-66, 2020 | 17 | 2020 |
| Voice assessments for detecting patients with neurological diseases using PCA and NPCA A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 20, 673-683, 2017 | 17 | 2017 |
| Voice signal processing for detecting possible early signs of Parkinson’s disease in patients with rapid eye movement sleep behavior disorder A Benba, A Jilbab, S Sandabad, A Hammouch International Journal of Speech Technology 22, 121-129, 2019 | 15 | 2019 |
| Using RASTA-PLP for discriminating between different neurological diseases A Benba, A Jilbab, A Hammouch, S Sandabad 2016 International Conference on Electrical and Information Technologies …, 2016 | 11 | 2016 |
| Quantification system of Parkinson’s disease A Jilbab, A Benba, A Hammouch International Journal of Speech Technology 20, 143-150, 2017 | 10 | 2017 |
| Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 20, 281-288, 2017 | 8 | 2017 |
| NEW BRAIN EXTRACTION METHOD USING EXPECTATION MAXIMIZATION AND MATHEMATICAL MORPHOLOGY. S SARA, H AHMED, ST YASSINE, B ACHRAF, C BOUCHAIB Journal of Theoretical & Applied Information Technology 73 (3), 2015 | 8 | 2015 |
Ahmed HammouchUM5在 um5.ac.ma 的电子邮件经过验证
