M Murugappan
M Murugappan
Associate Professor,Kuwait College of Science and Technology
Verified email at kcst.edu.kw - Homepage
Cited by
Cited by
Detecting driver drowsiness based on sensors: a review
A Sahayadhas, K Sundaraj, M Murugappan
Sensors 12 (12), 16937-16953, 2012
Classification of human emotion from EEG using discrete wavelet transform
M Murugappan, N Ramachandran, Y Sazali
Journal of biomedical science and engineering 3 (04), 390, 2010
Physiological signals based human emotion recognition: a review
S Jerritta, M Murugappan, R Nagarajan, K Wan
2011 IEEE 7th International Colloquium on Signal Processing and its …, 2011
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ...
Neural Computing and Applications 32 (15), 10927-10933, 2020
EEG feature extraction for classifying emotions using FCM and FKM
M Murugappan, M Rizon, R Nagarajan, S Yaacob, I Zunaidi, D Hazry
International journal of Computers and Communications 1 (2), 21-25, 2007
ECG signal denoising using wavelet thresholding techniques in human stress assessment
P Karthikeyan, M Murugappan, S Yaacob
International Journal on Electrical Engineering and Informatics 4 (2), 306, 2012
Time-frequency analysis of EEG signals for human emotion detection
M Murugappan, M Rizon, R Nagarajan, S Yaacob, D Hazry, I Zunaidi
4th Kuala Lumpur international conference on biomedical engineering 2008 …, 2008
Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst
J Selvaraj, M Murugappan, K Wan, S Yaacob
Biomedical engineering online 12 (1), 1-18, 2013
Brain functional connectivity patterns for emotional state classification in Parkinson’s disease patients without dementia
R Yuvaraj, M Murugappan, UR Acharya, H Adeli, NM Ibrahim, E Mesquita
Behavioural brain research 298, 248-260, 2016
Combining spatial filtering and wavelet transform for classifying human emotions using EEG Signals
M Murugappan, R Nagarajan, S Yaacob
Journal of Medical and Biological Engineering 31 (1), 45-51, 2011
Human emotion recognition through short time Electroencephalogram (EEG) signals using Fast Fourier Transform (FFT)
M Murugappan, S Murugappan
2013 IEEE 9th International Colloquium on Signal Processing and its …, 2013
Review of emotion recognition in stroke patients
R Yuvaraj, M Murugappan, MI Norlinah, K Sundaraj, M Khairiyah
Dementia and geriatric cognitive disorders 36 (3-4), 179-196, 2013
Inferring of human emotional states using multichannel EEG
M Murugappan, M Rizon, R Nagarajan, S Yaacob
European Journal of Scientific Research 48 (2), 281-299, 2010
Human emotion classification using wavelet transform and KNN
M Murugappan
2011 International Conference on Pattern Analysis and Intelligence Robotics …, 2011
A review on stress inducement stimuli for assessing human stress using physiological signals
P Karthikeyan, M Murugappan, S Yaacob
2011 IEEE 7th International Colloquium on Signal Processing and its …, 2011
On the analysis of EEG power, frequency and asymmetry in Parkinson’s disease during emotion processing
R Yuvaraj, M Murugappan, NM Ibrahim, MI Omar, K Sundaraj, ...
Behavioral and brain functions 10 (1), 1-19, 2014
Comparison of different wavelet features from EEG signals for classifying human emotions
M Murugappan, R Nagarajan, S Yaacob
2009 IEEE symposium on industrial electronics & applications 2, 836-841, 2009
An Investigation on visual and audiovisual stimulus based emotion recognition using EEG
M Murugappan, MRBM Juhari, R Nagarajan, S Yaacob
International Journal of Medical Engineering and Informatics 1 (3), 342-356, 2009
Clinical benefits of functional electrical stimulation cycling exercise for subjects with central neurological impairments
CW Peng, SC Chen, CH Lai, CJ Chen, CC Chen, J Mizrahi, Y Handa
J. Med. Biol. Eng. 31 (1), 1-11, 2011
Multiple physiological signal-based human stress identification using non-linear classifiers
K Palanisamy, M Murugappan, S Yaacob
Elektronika ir elektrotechnika 19 (7), 80-85, 2013
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