EEG-Based Emotion Assessment using Detrended Flunctuation Analysis (DFA)
Keywords:Electroencephalogram (EEG), Emotion, Detrended Fluctuation Analysis (DFA), Stroke,
AbstractStroke patients suffer from emotional and behavioral changes. The emotion assessment of stroke patients is helpful to carry out appropriate treatment. Emotion assessment through Electroencephalogram (EEG) is reliable and can be applied to stroke patients. Fractal analysis using Detrended Fluctuation Analysis (DFA) is applied to detect the temporal correlation and the simplicity of EEG signals. Emotion contained-EEG signals of two groups of stroke patients, with left brain damage (LBD) and right brain damage (RBD), and a group of normal control (NC) were assessed using DFA in alpha, beta and gamma frequency bands. The EEG signals of the three groups show different degrees of temporal anti-correlation. Moreover, alpha and beta bands which exhibit larger brain oscillation have better performance in emotion classification than gamma band. The overall performance of DFA has achieved 92.00% classification accuracy in LBD, and 91.75% in RBD. Thus, DFA is useful in emotion assessment of stroke patients.
Stroke Association, “State of the Nation Stroke statistics,” Stroke Assoc. Resour. Sheet, no. January, pp. 1–37, 2017.
J. Li, L. D. Oakley, R. L. Brown, Y. Li, M. Ye, and Y. Luo, “Early symptom measurement of Post-Stroke Depression (PSD),” J. Affect. Disord., vol. 197, pp. 215–222, 2016.
L. Ayerbe, S. Ayis, S. Crichton, C. D. A. Wolfe, and A. G. Rudd, “The natural history of depression up to 15 years after stroke: The South London stroke register,” Stroke, vol. 44, no. 4, pp. 1105–1110, 2013.
J. Bogousslavsky, “William Feinberg lecture 2002: emotions, mood, and behavior after stroke.,” Stroke., vol. 34, no. 4, pp. 1046–50, Apr. 2003.
J. Stone, E. Townend, J. Kwan, K. Haga, M. S. Dennis, and M. Sharpe, “Personality change after stroke: some preliminary observations.,” J. Neurol. Neurosurg. Psychiatry, vol. 75, pp. 1708–1713, 2004.
G. Sarah and L. Clark, “Psychological care after stroke cognitive and mood disorders,” NHS Improv., pp. 1–28, 2011.
M. A. . Hosseini, S.A.; Khalilzadeh, “Emotional stress recognition system using EEG and psychophysiological signals:,” in Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on, 2010, pp. 1–6.
M.-K. Kim, M. Kim, E. Oh, and S.-P. Kim, “A review on the computational methods for emotional state estimation from the human EEG.,” Comput. Math. Methods Med., vol. 2013, p. 573734, 2013.
R. Yuvaraj et al., “Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson’s disease.,” Int. J. Psychophysiol., vol. 94, no. 3, pp. 482–95, 2014.
M. Adamaszek, S. Olbrich, K. C. Kirkby, H. Woldag, C. Willert, and A. Heinrich, “Event-related potentials indicating impaired emotional attention in cerebellar stroke-A case study,” Neurosci. Lett., vol. 548, pp. 206–211, 2013.
H. P. Aben et al., “Impaired Emotion Recognition after Left Hemispheric Stroke: A Case Report and Brief Review of the Literature,” Case Rep. Neurol. Med., vol. 2017, pp. 1–6, 2017.
C. J. Stam and E. C. W. van Straaten, “The organization of physiological brain networks,” Clin. Neurophysiol., vol. 123, no. 6, pp. 1067–1087, 2012.
W. Klonowski, “Chaotic dynamics applied to signal complexity in phase space and in time domain,” Chaos, Solitons and Fractals, vol. 14, no. 9, pp. 1379–1387, 2002.
A. Krakovská and S. Štolc, “Fractal complexity of EEG signal,” Meas. Sci. Rev., vol. 6, no. 2.4, pp. 63–66, 2006.
H. Sheng, Y. Chen, and T. Qiu, “Multifractional Property Analysis of Human Sleep Eeg Signals,” Int. J. Bifurc. Chaos, vol. 22, no. 4, p. 1250080, 2012.
P. A. Watters and F. Martin, “A method for estimating long-range power law correlations from the electroencephalogram,” Biol. Psychol., vol. 66, no. 1, pp. 79–89, 2004.
J.-M. Lee, D.-J. Kim, I.-Y. Kim, K. Suk Park, and S. I. Kim, “Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis,” Med. Eng. Phys., vol. 26, no. 9, pp. 773–776, 2004.
X. Bornas, A. Fiol-Veny, M. Balle, A. Morillas-Romero, and M. Tortella-Feliu, “Long range temporal correlations in EEG oscillations of subclinically depressed individuals: their association with brooding and suppression,” Cogn. Neurodyn., vol. 9, no. 1, pp. 53–62, 2014.
C. Hartley et al., “Long-range temporal correlations in the EEG bursts of human preterm babies,” PLoS One, vol. 7, no. 2, 2012.
V. V. Nikulin and T. Brismar, “Long-range temporal correlations in electroencephalographic oscillations: Relation to topography, frequency band, age and gender,” Neuroscience, vol. 130, no. 2, pp. 549–558, 2005.
T. Brismar, “The human EEG — Physiological and clinical studies,” Physiol. Behav., vol. 92, no. 1–2, pp. 141–147, 2007.
C. K. Peng, S. V. Buldyrev, S. Havlin, M. Simons, H. E. Stanley, and A. L. Goldberger, “Mosaic organization of DNA nucleotides,” Phys. Rev. E, vol. 49, no. 2, pp. 1685–1689, 1994.
C. ‐K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, “Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series,” Chaos An Interdiscip. J. Nonlinear Sci., vol. 5, no. 1, pp. 82–87, 1995.
M. Bachmann, J. Lass, and H. Hinrikus, “Single channel EEG analysis for detection of depression,” Biomed. Signal Process. Control, vol. 31, pp. 391–397, 2017.
B. S. Zheng, W. Khairunizam, M. Murugappan, and N. M. Ibrahim, “Implementation of Wavelet Packet Transform and Non Linear Analysis for Emotion Classification in Stroke Patient using Brain Signals,” Biomed. Signal Process. Control.
R. Yuvaraj, M. Murugappan, U. R. Acharya, H. Adeli, N. M. Ibrahim, and E. Mesquita, “Brain functional connectivity patterns for emotional state classification in Parkinson’s disease patients without dementia,” Behav. Brain Res., vol. 298, pp. 248–260, 2016.
D. F. Specht, “Probabilistic neural networks,” Neural Networks, vol. 3, no. 1, pp. 109–118, 1990.
M. Farrokhrooz, M. Karimi, and A. Rafiei, “A new method for spread value estimation in multi-spread PNN and its application in ship noise classification,” in 2007 9th International Symposium on Signal Processing and Its Applications, 2007, pp. 1–4.
M. L. Dixon, “Cognitive control, emotional value, and the lateral prefrontal cortex,” Front. Psychol., vol. 6, no. JUN, pp. 1–5, Jun. 2015.
C. D. Salzman and S. Fusi, “Emotion, Cognition, and Mental State Representation in Amygdala and Prefrontal Cortex,” Annu. Rev. Neurosci., vol. 33, no. 1, pp. 173–202, Jun. 2010.
S. M. Rieger, “Personality and behavior changes subsequent to traumatic brain injury: a review of the literature,” Int. J. Emerg. Ment. Heal. Hum. Resil., vol. 17, no. 2, pp. 1522–4821, 2015.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.