A new automatic method of parkinson disease identification using complex-valued neural network
A new automatic method of Parkinson detection and classification using Complex Valued Neural Network (CVNN) is proposed in this paper. The proposed methodology used one of recently introduced dysphonia measure as part of its input data. The selected measures are those that are robust to many uncontro...
Main Authors: | Olanrewaju, Rashidah Funke, Zaharii, Nur Syarafina, Aibinu, Abiodun Musa |
---|---|
Format: | Article |
Language: | English |
Published: |
JOMB Editorial
2017
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/41222/ http://irep.iium.edu.my/41222/ http://irep.iium.edu.my/41222/ http://irep.iium.edu.my/41222/1/A%20New%20Automatic%20Method%20of%20Parkinson%20Disease.pdf |
Similar Items
-
Application of neural networks in early detection and diagnosis of parkinson's disease
by: Olanrewaju, Rashidah Funke, et al.
Published: (2014) -
Determination of autoregressive coefficients using Complex-Valued Neural Network
by: Aibinu, Abiodun Musa, et al.
Published: (2009) -
Forgery detection in medical images using Complex Valued Neural Network (CVNN)
by: Olanrewaju, Rashidah Funke, et al.
Published: (2011) -
Watermarking in safe region of frequency domain using complex-valued neural network
by: Olanrewaju, Rashidah Funke, et al.
Published: (2010) -
Damageless digital watermarking using complex-valued artificial neural network
by: Olanweraju, Rashidah Funke, et al.
Published: (2010)