Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography

Angana Saikia, Amit Ranjan Barua, Masaraf Hussain, Sudip Paul

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Abstract

A neurodegenerative disorder which is caused due to loss of a neurotransmitter called dopamine in the substania nigra of the mid brain is known as Parkinson's disease (PD). It is mostly affected to the people after the age of 50 years. The disease results in the loss of coordination between brain and muscle; hence the person is disturbed. Electroencephalography (EEG) is one of the primitive methods for studying the human brain function. It is used for the detection of cognitive decline in neurodegenerative disorders including PD. In this paper, we reported a study of the frontal and temporal EEG of Parkinson's disease patients using MATLAB platform. Lyapunov exponent and inverse Lyapunov exponent for both PD and healthy subjects were calculated within a given time frame. It was found that for PD subjects, the Lyapunov exponent for the temporal part of the brain is less than that of the frontal while the inverse Lyapunov exponent is reverse order of the brain. This result signifies that the correlations between neurons are stronger in frontal region for healthy subjects than PD.

Original languageEnglish
Title of host publicationPROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN)
PublisherWiley-IEEE Press
Pages791-795
Number of pages5
Publication statusPublished - 2019
Event6th International Conference on Signal Processing and Integrated Networks (SPIN) - Noida, India
Duration: 7 Mar 20198 Mar 2019
https://www.amity.edu/spin2019/default.asp

Conference

Conference6th International Conference on Signal Processing and Integrated Networks (SPIN)
CountryIndia
CityNoida
Period7/03/198/03/19
Internet address

Cite this

Saikia, A., Barua, A. R., Hussain, M., & Paul, S. (2019). Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography. In PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) (pp. 791-795). Wiley-IEEE Press.
Saikia, Angana ; Barua, Amit Ranjan ; Hussain, Masaraf ; Paul, Sudip. / Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN). Wiley-IEEE Press, 2019. pp. 791-795
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abstract = "A neurodegenerative disorder which is caused due to loss of a neurotransmitter called dopamine in the substania nigra of the mid brain is known as Parkinson's disease (PD). It is mostly affected to the people after the age of 50 years. The disease results in the loss of coordination between brain and muscle; hence the person is disturbed. Electroencephalography (EEG) is one of the primitive methods for studying the human brain function. It is used for the detection of cognitive decline in neurodegenerative disorders including PD. In this paper, we reported a study of the frontal and temporal EEG of Parkinson's disease patients using MATLAB platform. Lyapunov exponent and inverse Lyapunov exponent for both PD and healthy subjects were calculated within a given time frame. It was found that for PD subjects, the Lyapunov exponent for the temporal part of the brain is less than that of the frontal while the inverse Lyapunov exponent is reverse order of the brain. This result signifies that the correlations between neurons are stronger in frontal region for healthy subjects than PD.",
keywords = "Parkinson's disease (PD), Electroencephalography (EEG), Lyapunov exponent, Neurodegenerative disorder",
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Saikia, A, Barua, AR, Hussain, M & Paul, S 2019, Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography. in PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN). Wiley-IEEE Press, pp. 791-795, 6th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 7/03/19.

Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography. / Saikia, Angana; Barua, Amit Ranjan; Hussain, Masaraf; Paul, Sudip.

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN). Wiley-IEEE Press, 2019. p. 791-795.

Research output: Chapter in Book/Conference paperConference paper

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T1 - Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography

AU - Saikia, Angana

AU - Barua, Amit Ranjan

AU - Hussain, Masaraf

AU - Paul, Sudip

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N2 - A neurodegenerative disorder which is caused due to loss of a neurotransmitter called dopamine in the substania nigra of the mid brain is known as Parkinson's disease (PD). It is mostly affected to the people after the age of 50 years. The disease results in the loss of coordination between brain and muscle; hence the person is disturbed. Electroencephalography (EEG) is one of the primitive methods for studying the human brain function. It is used for the detection of cognitive decline in neurodegenerative disorders including PD. In this paper, we reported a study of the frontal and temporal EEG of Parkinson's disease patients using MATLAB platform. Lyapunov exponent and inverse Lyapunov exponent for both PD and healthy subjects were calculated within a given time frame. It was found that for PD subjects, the Lyapunov exponent for the temporal part of the brain is less than that of the frontal while the inverse Lyapunov exponent is reverse order of the brain. This result signifies that the correlations between neurons are stronger in frontal region for healthy subjects than PD.

AB - A neurodegenerative disorder which is caused due to loss of a neurotransmitter called dopamine in the substania nigra of the mid brain is known as Parkinson's disease (PD). It is mostly affected to the people after the age of 50 years. The disease results in the loss of coordination between brain and muscle; hence the person is disturbed. Electroencephalography (EEG) is one of the primitive methods for studying the human brain function. It is used for the detection of cognitive decline in neurodegenerative disorders including PD. In this paper, we reported a study of the frontal and temporal EEG of Parkinson's disease patients using MATLAB platform. Lyapunov exponent and inverse Lyapunov exponent for both PD and healthy subjects were calculated within a given time frame. It was found that for PD subjects, the Lyapunov exponent for the temporal part of the brain is less than that of the frontal while the inverse Lyapunov exponent is reverse order of the brain. This result signifies that the correlations between neurons are stronger in frontal region for healthy subjects than PD.

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KW - Electroencephalography (EEG)

KW - Lyapunov exponent

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Saikia A, Barua AR, Hussain M, Paul S. Significance of Lyapunov Exponent in Parkinson's disease using Electroencephalography. In PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN). Wiley-IEEE Press. 2019. p. 791-795