Tunable Q wavelet transform based emotion classification in Parkinson's disease using Electroencephalography

PloS One
M MurugappanVarun Bajaj

Abstract

Parkinson's disease (PD) is a severe incurable neurological disorder. It is mostly characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and communication problems, depression, and so on. Electroencephalography (EEG) play a key role in the detection of the true emotional state of a person. Various studies have been proposed for the detection of emotional impairment in PD using filtering, Fourier transforms, wavelet transforms, and non-linear methods. However, these methods require a selection of basis and are confined in terms of accuracy. In this paper, tunable Q wavelet transform (TQWT) is proposed for the classification of emotions in PD and normal controls (NC). EEG signals of six emotional states namely happiness, sadness, fear, anger, surprise, and disgust are studied. Power, entropy, and statistical moments based features are elicited from the highpass and lowpass sub-bands of TQWT. Six features selected by statistical analysis are classified with a k-nearest neighbor, probabilistic neural network, random forest, decision tree, and extreme learning machine. Three performance measures are obtained, maximum mean accuracy, sensitivity, and specificity of 96.16%, 97.59%, and 88.51% for NC and 93.88%, 96...Continue Reading

References

Jul 1, 1990·Journal of Neurology, Neurosurgery, and Psychiatry·E MohrT N Chase
Dec 14, 2011·Movement Disorders : Official Journal of the Movement Disorder Society·Julie PéronMarc Vérin
Aug 12, 2014·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·R YuvarajR Palaniappan
Jan 24, 2017·Computer Methods and Programs in Biomedicine·Ahnaf Rashik HassanYanchun Zhang
Oct 24, 2017·Frontiers in Aging Neuroscience·Alessia SaricaAldo Quattrone
Aug 31, 2020·Computer Methods and Programs in Biomedicine·Smith K Khare, Varun Bajaj

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Citations

Sep 11, 2021·Physical and Engineering Sciences in Medicine·Zülfikar Aslan

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Methods Mentioned

BETA
feature extraction

Software Mentioned

Emotiv EPOC
ELM
TQWT
Extreme Learning Machine
PNN

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