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...

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Main Authors:	Olanrewaju, Rashidah Funke, Zaharii, Nur Syarafina, Aibinu, Abiodun Musa
Format:	Article
Language:	English
Published:	JOMB Editorial 2017
Subjects:	Q Science (General) R Medicine (General)
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

id	iium-41222
recordtype	eprints
spelling	iium-412222018-01-12T10:09:01Z http://irep.iium.edu.my/41222/ A new automatic method of parkinson disease identiﬁcation using complex-valued neural network Olanrewaju, Rashidah Funke Zaharii, Nur Syarafina Aibinu, Abiodun Musa Q Science (General) R Medicine (General) 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 uncontrollable variations in individual and environments. The three selected dysphonia measures are converted from time domain to frequency domain by application of Discrete Fourier Transform (DFT) on the data. The frequency domain converted measures are fed to CVNN and the output of CVNN serves as input to the parkinson disease classiﬁer for classiﬁcation purpose. Result obtained by application of this technique on parkinson data resulted in classiﬁcation performance of 96% accuracy JOMB Editorial 2017-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41222/1/A%20New%20Automatic%20Method%20of%20Parkinson%20Disease.pdf Olanrewaju, Rashidah Funke and Zaharii, Nur Syarafina and Aibinu, Abiodun Musa (2017) A new automatic method of parkinson disease identiﬁcation using complex-valued neural network. Journal of Medical and Bioengineering, 6 (1). pp. 25-28. ISSN 2301-3796 http://www.jomb.org/ 10.18178/jomb.6.1.25-28
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General) R Medicine (General)
spellingShingle	Q Science (General) R Medicine (General) Olanrewaju, Rashidah Funke Zaharii, Nur Syarafina Aibinu, Abiodun Musa A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
description	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 uncontrollable variations in individual and environments. The three selected dysphonia measures are converted from time domain to frequency domain by application of Discrete Fourier Transform (DFT) on the data. The frequency domain converted measures are fed to CVNN and the output of CVNN serves as input to the parkinson disease classiﬁer for classiﬁcation purpose. Result obtained by application of this technique on parkinson data resulted in classiﬁcation performance of 96% accuracy
format	Article
author	Olanrewaju, Rashidah Funke Zaharii, Nur Syarafina Aibinu, Abiodun Musa
author_facet	Olanrewaju, Rashidah Funke Zaharii, Nur Syarafina Aibinu, Abiodun Musa
author_sort	Olanrewaju, Rashidah Funke
title	A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
title_short	A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
title_full	A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
title_fullStr	A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
title_full_unstemmed	A new automatic method of parkinson disease identiﬁcation using complex-valued neural network
title_sort	new automatic method of parkinson disease identiﬁcation using complex-valued neural network
publisher	JOMB Editorial
publishDate	2017
url	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
first_indexed	2023-09-18T20:59:03Z
last_indexed	2023-09-18T20:59:03Z
_version_	1777410499656286208

A new automatic method of parkinson disease identiﬁcation using complex-valued neural network

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