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Achraf Benba
ORCID
Publication Activity (10 Years)
Years Active: 2016-2022
Publications (10 Years): 8
Top Topics
Kernel Pca
Neurological Disorders
Patient Groups
Early Diagnosis
Top Venues
Int. J. Speech Technol.
IET Wirel. Sens. Syst.
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Publications
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Achraf Benba
,
Imane Laaqira
,
Abdelilah Jilbab
,
Ahmed Hammouch
Using novel method: Real Cepstral Discrete Cosine Transform, for detecting Parkinson from multiple system atrophy, other neurological diseases and healthy cases using voice analysis.
Int. J. Speech Technol.
25 (1) (2022)
Amina El Attaoui
,
Salma Largo
,
Soufiane Kaissari
,
Achraf Benba
,
Abdelilah Jilbab
,
Abdennaser Bourouhou
Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection.
IET Wirel. Sens. Syst.
10 (6) (2020)
Achraf Benba
,
Abdelilah Jilbab
,
Sara Sandabad
,
Ahmed Hammouch
Voice signal processing for detecting possible early signs of Parkinson's disease in patients with rapid eye movement sleep behavior disorder.
Int. J. Speech Technol.
22 (1) (2019)
Achraf Benba
,
Abdelilah Jilbab
,
Ahmed Hammouch
Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis.
Int. J. Speech Technol.
20 (2) (2017)
Achraf Benba
,
Abdelilah Jilbab
,
Ahmed Hammouch
Voice assessments for detecting patients with neurological diseases using PCA and NPCA.
Int. J. Speech Technol.
20 (3) (2017)
Abdelilah Jilbab
,
Achraf Benba
,
Ahmed Hammouch
Quantification system of Parkinson's disease.
Int. J. Speech Technol.
20 (1) (2017)
Achraf Benba
,
Abdelilah Jilbab
,
Ahmed Hammouch
Voice assessments for detecting patients with Parkinson's diseases using PCA and NPCA.
Int. J. Speech Technol.
19 (4) (2016)
Achraf Benba
,
Abdelilah Jilbab
,
Ahmed Hammouch
Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson's disease and healthy people.
Int. J. Speech Technol.
19 (3) (2016)