z-logo
open-access-imgOpen Access
Detecting Patients with Parkin son’s disease using Mel Frequency Cepstral Coefficients a nd Support Vector Machines
Author(s) -
Achraf Benba,
Abdelilah Jilbab,
Ahmed Hammouch
Publication year - 2015
Publication title -
international journal on electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 18
ISSN - 2085-6830
DOI - 10.15676/ijeei.2015.7.2.10
Subject(s) - parkin , support vector machine , mel frequency cepstrum , speech recognition , mathematics , pattern recognition (psychology) , computer science , artificial intelligence , disease , medicine , feature extraction , parkinson's disease

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom