Publications

Publications Summary:

1. No of International peer-reviewed proceedings : 63

2. No of International peer-reviewed journals        : 73

3. No of Edited Books                                 : 8

4. No of Book chapter                                     : 5                    

5. Total number of citations (Google Scholar)      : 5467

6. H index (Google Scholar/SCOPUS)                : 37/33  

7. i10 Index                                                  : 80      

8. Google Scholar    : https://scholar.google.com.my/citations?user=5StwdjgAAAAJ&hl=en

9. SCOPUS              : https://www.scopus.com/authid/detail.uri?authorId=25825367900

Books:

1. Sa, P.K, Sahoo, M.N, Murugappan, M, Wu, Y, Majhi, B, Progress in Intelligent Computing Techniques: Theory, Practice and Applications, Springer, 2016. 

2. Thangaprakash S, Murugappan M, Sanjay M, Advances in Electrical and Computer Technologies, Volume 672, Edition 1020, Springer Nature, Singapore, e-Book- ISSN: 978-981-15-5557-2, 2019. DOI: 10.1007/978-981-15-5558-9 

3. Thangaprakash S, Murugappan M, Sanjay M, Advances in Electrical and Computer Technologies, Volume 711, Edition 1020, Springer Nature, Singapore, e-Book- ISSN: 978-981-15-9018-4, 2020. DOI: 10.1007/978-981-15-9019-1.

4. Thangaprakash S, Murugappan M, Sanjay M, Advances in Electrical and Computer Technologies, Springer Nature, Singapore, 2021.

5. Saravanan Krishnan, M Murugappan, Internet of Drones: Applications, Opportunities, and Challenges, CRC Press, 2021-2022. (In production) 

6. M Murugappan, R.Yuvaraj, Biomedical Signal based Computer-Aided Diagnosis Systems for Neurological Disorders, Springer, 2022. E-book: ISBN: 978-3-030-97845-7, Hardcover: ISBN: 978-3-030-97844-0

7. M Murugappan, Affective Computing in Healthcare: Applications based on Biosignals and Artificial Intelligence, IOP Publisher, Online ISBN: 978-0-7503-5182-9 • Print ISBN: 978-0-7503-5180-5, 2023. 

8. M Murugappan, Affective Computing Applications in Healthcare using AI and IoT: Methods, Challenges, and System Design, IET Publisher, 2022-2023. (In progress).

Book Chapters:

1. M Murugappan, Frequency Band Localization on Multiple Physiological Signals for Classifying Human Emotions using Discrete Wavelet Transform, Book Title: Emotion Recognition- Pattern Analysis Approach, Wiley Blackwell Publisher, USA. Dec 2014.

2. M Murugappan, R Nagarajan, S Yaacob, Discrete Wavelet Transform based Selection of Salient EEG Frequency Band for Assessing Human Emotions, Book Title: Discrete Wavelet Transform - Biomedical Applications, pp, 33-52, 2011, INTECH Publisher, Croatia. 

3. M Murugappan, M Rizon, R Nagarajan, S Yaacob, D Hazry and I Zuanidi, Time-Frequency Analysis of EEG Signals for Human Emotion Detection, Proceedings on International Federation of Medical & Biological Engineering (IFMBE), Springer Publication, Vol 21, pp, 262-265.2008.

4. M Murugappan, Smith Khare, Waleed Alshuaib, Ali K Bourisly, Varun Bhajaj, G R Sinha, Recurrence Quantification Analysis based Emotion Classification in Parkinson’s Disease using Electroencephalogram Signals, Computer-Aided Diagnosis and Design Methods for Biomedical Applications, CRC Press. (Accepted)

5. M Murugappan, Ali K Bourisly, Palani Thanaraj Krishnan, Vasanthan Maruthapillai, Hariharan Muthusamy, Artificial Intelligence based CoVID-19 Detection using Medical Imaging Methods: A Review, Computational Modelling and Imaging for SARS-CoV-2 and CoVID-19, CRC Press, 2020 (Accepted)

6. Bajpai, R., Yuvaraj, R., Prince, A.A., Murugappan, M. Abnormal EEG Detection Using Time-Frequency Images and Convolutional Neural Network. In: Murugappan, M., Rajamanickam, Y. (eds) Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders, 2022. Springer, Cham. https://doi.org/10.1007/978-3-030-97845-7_1

7. Choong, W.Y, Wan Khairunizam, M Murugappan, Bong Ziao Zheng, Investigation of the Brain Activation Pattern of Stroke Patients and Healthy Individuals During Happiness and Sadness, Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders, 2022, Springer, Cham. https://doi.org/10.1007/978-3-030-97845-7_6

Referred Journals:

2023:

1. Parikha Chawla, Shashi B. Rana, Hardeep Kaur, Kuldeep Singh, Rajamanickam Yuvaraj, M. Murugappan, A decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features, Biomedical Signal Processing and Control, Elsevier, 2023. DOI: 10.1016/j.bspc.2022.104116 (IF: 5.076, Q2)

2. M Murugappan, Ali K.Bourisly, N B Prakash, Sumithra M.G., U Rajendra Acharya, Automated Semantic Lung Segmentation in Chest CT Images using Deep Neural Network, Neural Computing, and its Applications, Springer, https://doi.org/10.1007/s00521-023-08407-1, 2023 (IF:5.086, Q2) 

3. Sakib Mahmud, Amith Khandakar, Muhammad E. H. Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M Murugappan, Mohammed Alhatou, Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature, Sensors and Actuators A: Physical, Elsevier, https://doi.org/10.1016/j.sna.2022.114092, 20233. (IF: 4.291, Q1) 

4. Hanif Heidri, Andreo Vedikko, M Murugappan, Muhammad E. H. Chowdhury, Improved NNetEn entropy calculation for short and noisy time series, Nonlinear Dynamics, Springer, 2023, (IF: 5.781, Q1) https://doi.org/10.1007/s11071-023-08298-w.  

5. Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, M. Murugappan*, Enamul Hoque Bhuiyan, Mohamed Arslane Ayari and Amith Khandakar, Machine Learning based Respiration Rate and Blood Oxygen Saturation Estimation using Photoplethysmogram Signal, Bioengineering, 2023. 10(2), 167; https://doi.org/10.3390/bioengineering10020167  (IF: 5.046, Q2)

6. S.Abisha, A M Mutawa, M Murugappan, Saravanan Krishnan, Recognition of brinjal diseases on image processing techniques and Deep Convolutional Neural Networks, PlosOne, 18(4): e0284021. https://doi.org/10.1371/journal.pone.0284021 , 2023. (IF: 3.082, Q2)

7. Sankari, V.M.R., Snekhalatha, U., Murugappan, M. et al. Artificial Intelligence-Based Hearing Loss Detection Using Acoustic Threshold and Speech Perception Level. Arabian Journal for Science and Engineering (2023). https://doi.org/10.1007/s13369-023-07927-12023  (IF: 2.87, Q2).

8. Velichko A, Belyaev M, Izotov Y, Murugappan M, Heidari H. Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms. 2023; 16(5):255. https://doi.org/10.3390/a16050255 

9. Yuvaraj, Rajamanickam, Arapan Baranwal, A. Amalin Prince, M. Murugappan, and Javeed Shaikh Mohammed. 2023. "Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques", Brain Sciences 13, no. 4: 685. https://doi.org/10.3390/brainsci13040685 (IF: 3.333, Q2).

10. Md. Sohanur Rahman, Hasib Ryan Rahman, Johayra Prithula, Muhammad E. H. Chowdhury, Mosabber Uddin Ahmed, Jaya Kumar, M. Murugappan, and Muhammad Salman Khan, Heart Failure Emergency Readmission Prediction using Stacking Machine Learning Model, Diagnostics, 13(11):1948. https://doi.org/10.3390/diagnostics13111948, 2023. (IF:3.992, Q2). 

11. Muntakim Mahmud Khan, Muhammad E.H. Chowdhury, A S M Shamsul Arefin, Kanchon Kanti Podder, Md. Sakib Abrar Hossain, Abdulrahman Alqahtani, M. Murugappan, Amith Khandakar, Adam Mushtak and Md. Nahiduzzaman, Deep Learning Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection using Computed Tomography Images, Diagnostics, 13(15), 2537; https://doi.org/10.3390/diagnostics13152537, 2023. (IF:3.992, Q2).

Under review:

12. Jason Elroy Martis, Sannidhan M S, and Balasubramani R, A.M.Mutawa, M Murugappan,, A novel hybrid Quantum Architecture-based Lung Cancer Detection using Chest X-Ray and CT Scan Images, Expert Systems with Applications, Elsevier, 2023. (IF:8.5, Q1)

13. U Snegalatha, Satya Harsha Vardhan Muppidi, M Murugappan, Lakshmi Swathi Akkiraju, RAEXO: a smartphone-controlled three-dimensional printed exoskeleton for rheumatoid arthritis rehabilitation using a semi-active actuation mechanism, Journal of the Chinese Institute of Engineers, 2022. (IF: 1.144). 

14. Ravi Kiran, P, Soujanya, R, M Murugappan, Ibrahim Radwan, Roland Goecke, Examining Emotion Perception in Parkinson’s Disease (PD) Patients using EEG Signals, Frontiers in Computer Science, 2022. 

15. M Murugappan, Rashmi Nair, Saravanan K, An Exploratory Study on Cryptocurrency and its Consumer Usage in The Global Market, International Review of Financial Analysis, Malaysian Journal of Computer Science, 2022. (SCI) 

16. S Bagyaraj, M Murugappan, S Sinduja Mary, S Arun Karthik, Analysis of EMG and NIRS Signals in Flexor Digitorum Superficialis During Isometric Contraction, Journal of Engineering Research, Elsevier, 2023. (IF: 1.083, Q3) 

17. Hanif Heidri, M Murugappan, Muhammad E. H. Chowdhury, Sheikh Javeed, Mufti Mahmud, Facial emotion recognition using partitioned random forest method, Cognitive Computation, Springer, 2023. (IF: 4.890, Q2).

18. Proma Dutta, Kanchon Kanti Podder, Muhammad E. H. Chowdhury, Amith Khandakar, M. Murugappan, Mohamed Arselene Ayari, Sakib Mahmud, Anas M. Tahir, GearFaultNet- Novel Network for Automatic and Early Detection of Gearbox Faults, Energy Reports, Elsevier, 2022. (IF: 4.937, Q1).

19. G.R Hemalakshmi, Murugappan Murugappan, Mohamed Yacin Sikkandar, D Santhi, N.B Prakash, A Mohanarathinam, PE-Ynet: A Novel Attention-based Multi-Task Model for Pulmonary Embolism Detection using CT Pulmonary Angiography (CTPA) Scan Images, Neurocomputing, Elsevier, 2023. (IF:5.779, Q2)

20. M.P.E. Rajamani, Murugappan Murugappan, N.B. Prakash, Gomesh Nair, Mohamed Trabelsi, A GSA-tuned PI and Sliding Mode Controllers for a Novel PV Powered Dual Output DC-DC Converter, Renewable Energy, Elsevier, 2023 (IF:8.634, Q1)

21. Chetan Rakshe, Suja Kunneth, Soumya Sundaram, M. Murugappan, Jac Fredo AR1 Autism Spectrum Disorder Diagnosis using Fractals and Non-Fractals based Functional Connectivity Analysis and Machine Learning Methods, Biocybernetics and Biomedical Engineering, Elsevier, 2023. (IF: 5.687, Q2)

22. R Yuvaraj, M Murugappan, U Raghavendra, Anjan Gurger, An automated recognition of teacher and student activities in the classroom environment: A deep learning framework, Expert Systems with Applications, Elsevier, 2023. (IF:8.5, Q1)

23. U Snegalatha, M Murugappan, Deepa Bharathi, Computer-Aided Detection and Classification of Intracranial Hemorrhage using various deep learning techniques, Diagnostics, 2023. (IF:3.992, Q2).

24. Vaibhav Jain, Chetan Tanaji Rakshe, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom, M Murugappan, Exploring fractal-based functional connectivity: Toward age and severity specific deep learning models for autism spectrum disorder classification, Arabian Journal for Science and Engineering, Springer, 2023. (IF: 2.9, Q2)

25. R.Yuvaraj, M Murugappan, Aya Hossanah, Mufti Mahmud, EEG Based Emotion Recognition Using Time-Frequency images and Hybrid ResNet Models, Arabian Journal for Science and Engineering, Springer, 2023(IF: 2.87, Q2).

26. Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Seyed Mehdi Rakhtala, M. Murugappan, Sakib Mahmud, Nazmul Islam Shuzan, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai @Abd Razak, Muhammad Salman Khan, Amith Khandakar, LGI-rPPG-Net: A Shallow Encoder-Decoder Model for rPPG Signal Estimation from Facial Video Streams, Biomedical Signal Processing and Control, Elsevier, 2023. (IF:5.076, Q2)

27. Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Md Anwarul Hasan, Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization, Cognitive Computation, Springer, 2023. (IF: 4.890, Q2).

2022:

1. M Murugappan, Ali K.Bourisly, N B Prakash, Sumithra M.G., U Rajendra Acharya, Automated Semantic Lung Segmentation in Chest CT Images using Deep Neural Network, Neural Computing and Applications, Springer, 2022 (IF:5.102). (Accepted)

2. M Murugappan, N.B.Prakash, R.Jeya, Mohanarathinam, G.R.Hemalakshmi, A Novel Attention Based Few-shot Classification Framework for Diabetic Retinopathy Detection and Grading, Measurements, Elsevier, 2022. https://doi.org/10.1016/j.measurement.2022.111485 (IF:3.927)

3. Ravi Kiran, P, Soujanya, R, M Murugappan, Ibrahim Radwan, Roland Goecke, Examining Emotion Perception in Parkinson’s Disease (PD) Patients using EEG Signals, IEEE Journal of Biomedical and Health Informatics, 2022. (Accepted). (IF:7.021)

4. N.B. Prakash, M Murugappan, M. Peratchiammal, B. Vigneshwaran and M. Bakrutheen, Statistical Reliability Analysis on Flashover Characteristics of Ceramic Disc Insulator and Polymeric Insulators, The Arabian Journal for Science and Engineering, Springer, 2022. (IF: 2.837) https://doi.org/10.1007/s13369-022-06929-9 

5. M Murugappan, Rashmi Nair, Saravanan K, An Exploratory Study on Cryptocurrency and its Consumer Usage in The Global Market, International Review of Financial Analysis, Elsevier, 2022. (IF:2.497) (Under Review).

6. S Bagyaraj, M Murugappan, S Sinduja Mary, S Arun Karthik, Analysis of EMG and NIRS Signals in Flexor Digitorum Superficialis During Isometric Contraction, Measurement Science and Technology, 2022. (Under Review). (IF: 2.046)

7. Rafid M, Mohammad SU, Motiur R, Khandaker M M U, M Murugappan, Mufti M, COVID-19 Diagnosis with other Chest Infections using Faster R-CNN and GAN, Plos One. (IF:3.24). (Under review)

8. Varalakshmi Perumal, Sakthi Jaya Sundar Rajasekar, Vasumathi Narayanan, M Murugappan, Correspondence of Air pollutants and Atmospheric conditions with COVID-19 morbidity and mortality - A Retrospective Study in India, Aerosol and Air Quality Research, 2022. (IF:3.063) (Under review)

9. Muhammad Najam Dara, Muhammad Usman Akrama, Rajamanickam Yuvaraj, Sajid Gul Khawajaa, M. Murugappan, EEG Based Emotion Charting for Parkinson’s Disease Patients and Cross Dataset Transfer Learning using CRNN with ELM, Computers in Biology and Medicine, Elsevier, 2022. (IF: 7.032). https://doi.org/10.1016/j.compbiomed.2022.105327 

10. Maithri M, U. Raghavendra, Anjan Gudigarb, Jyothi Samanth, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya, Automated Emotion Recognition: Current Trends and Future Perspectives, Computer Methods and Programs in Biomedicine, Volume 215, 2022, 106646, DOI: 10.1016/j.cmpb.2022.106646, Elsevier, 2022. (IF: 6.698)

11. Chandran Venkatesan, Sumithra M.G., M Murugappan, NFU-Net: An automated framework for the detection of Neurotrophic Foot Ulcer using Deep Convolutional Neural Network, Neural Processing Letters, Springer, 2022. (IF: 2.908). https://doi.org/10.1007/s11063-022-10782-0 

12. Parikha Chawla, Shashi B. Rana, Hardeep Kaur, Kuldeep Singh, Rajamanickam Yuvaraj, M. Murugappan, A decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features, Biomedical Signal Processing and Control, Volume 79, Part 1, 2023, Elsevier. (IF: 5.076)

2021

1. M Murugappan, Mutawa A, Facial Geometric Feature Extraction based Emotional Expression Classification using Machine Learning Algorithms, 16(2), e0247131, PLOS ONE. DOI: 10.1371/journal.pone.0247131 (IF: 3.24)

2. M Murugappan, Bong Siao Zheng, Wan Khairunizam, Application of Recurrence Quantification Analysis in Emotional Impairment Detection in Stroke using Electroencephalogram Signals, The Arabian Journal for Science and Engineering, Springer, Vol 46, 9573-9588, 2021. DOI: 10.1007/s13369-021-05369-1 (IF: 2.334)

3. N.B.Prakash, M.Murugappan, G.R.Hemalakshmi, M.Jayalakshmi, Mufti Mahmud, Deep Transfer Learning for COVID-19 Detection and Infection Localization with Superpixel Based Segmentation, Sustainable Cities and Societies, Elsevier, Vol 75, 103252, 2021. DOI: 10.1016/j.scs.2021.103252 (IF: 7.587)

4. B. Deepa, M Murugappan, M.G. Sumithra, Mufti Mahmud, Pattern Descriptors Orientation and MAP Firefly Algorithm based Brain Pathology Classification using Hybridized Machine Learning Algorithm, IEEE Access, DOI: 10.1109/ACCESS.2021.3100549, 2021 (IF: 3.89)

5. Alex Noel Joseph Raj, M Murugappan, V Arunachalam, Fusion of Near-Infrared and RGB Images on FPGA, Journal of Engineering Research, Springer, Vol. 9 No. (3A), pp. 104-114, 2021. (IF: 0.35).

2020

1. M Murugappan, Waheed Alshuaib, Ali Boursily, Sai Sruthi, Smith K Khare, Varun Bhajaj, TQWT Based Emotion Classification in Parkinson’s Disease using Electroencephalography, PLOS ONE, 2020. (IF: 2.74). DOI: 10.1371/journal.pone.0242014

2. M Murugappan, Murukesan Loganathan, Jerritta Selvaraj, Hojjat Adeli, Prediction of Sudden Cardiac Arrest (SCA) using Novel R-Tend features, The Arabian Journal for Science and Engineering, Springer, 2020. DOI: 10.1007/s13369-020-04765-3 (IF: 1.717).

3. Choong Wen Yean, Wan Khairunizam Wan Ahmad, Wan Azani Mustafa, Murugappan Murugappan, Yuvaraj Rajamanickam, An Emotion Assessment of Stroke Patient by Using Bispectrum Features of EEG Signals, Brain Sciences, 10, 672, 2020. (IF: 3.332)

4. Aya Hassouneh, A. M. Mutawa, Murugappan Murugappan, Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG Based on Machine Learning and Deep Neural Network Methods, Informatics in Medicine Unlocked, Elsevier, 2020. DOI: 10.1016/j.imu.2020.100372  

5. Anuja N, Alex Noel J R, Ruban N, Zhemin Z, M Murugappan, RDA-UNET-WGAN: An Accurate Breast Ultrasound Lesion Segmentation Using Wasserstein Generative Adversarial Networks, The Arabian Journal for Science and Engineering, Springer, 2020, DOI: 10.1007/s13369-020-04480-z (IF: 1.717)

2019 

1. Bhurane A, Dhok S, Manish S, Yuvaraj R, M Murugappan, U Rajendra Acharya, Diagnosis of Parkinson’s Disease from EEG Signals using Linear and Self-Similarity features, Expert systems, Wiley Publisher, 2019 (IF: 1.505). DOI: 10.1111/exsy.12472 

2. Zhemin Zhuang, Alex Noel Joseph Raj, Atyant Jain, Nersisson Ruban, Saksham Chaurasia, Nan Li, Lakshmanan M, M Murugappan, Nipple Segmentation and Localization using Modified U-Net on Breast Ultrasound Images, Journal of Medical Imaging and Health Informatics, American Scientific Publisher, 2019. (IF: 0.549). (https://doi.org/10.1166/jmihi.2019.2828)

2018:

1. Shu L O, Yuki H, Rahavendra U, Yuvaraj R, Arunkumar N, M Murugappan, U Rajendra Acharya, A Deep Learning Approach for Parkinson’s Disease Diagnosis from EEG Signals, Neural Computing and Applications, Springer. 2018. (https://doi.org/10.1007/s00521-018-3689-5) (IF: 4.213)

2. Bong Siao Zheng, Wan Khairunizam, Murugappan Murugappan, Shahriman AB, Zuradman M Razlan, I Zunaidi, Choong Wen Yean, Effectiveness of Tuned Q-factor Wavelet Transform in Emotion Recognition among Left-brain Damaged Stroke Patients, International Journal of Simulation, Systems, Science and Technology, DOI 10.5013/IJSSST.a.19.03.02. (SCOPUS)

3. W. Y. Choong , W. Khairunizam, M. I. Omar, M. Murugappan, A. H. Abdullah, H. Ali, and S. Z. Bong, Detrended Fluctuation Analysis (DFA) for Emotional Assessment of Stroke Patients Using EEG Signals, Journal of Telecommunication, Electronic and Computer Engineering, Vol 10, No 13, 105-109, 2018. (SCOPUS)

2017:

1. Bong Siao Zheng, M Murugappan, Wan Khairunizam, Implementation of Wavelet Packet Transform and Non Linear Analysis for Assessing Emotion in Stroke Patient, Biomedical Signal Processing and Control, Elsevier, Vol 36, 102-112, 2017. (IF:2.943)

2016:

1. Yuvaraj,  M Murugappan,  Norlinah B R, Iqbal Omar, Kenneth Sundaraj, Khairiyah B A, Ramaswamy Palaniappan, M Satyan, EEG Functional Connectivity Patterns based Emotional State Classification in Parkinson’s Disease Patients, Behaviour and Brain Research,  Elsevier Publisher, Vol 298, Part B, pp, 248-260, Feb 2016. (IF: 3.173)

2. R Yuvaraj,  M Murugappan, Palaniappan R, The Effect of Liberalization of Motor Onset and Emotional Recognition in PD Patients Using EEG, Brain Topography, Springer. 2016, DOI: 10.1007/s10548-016-0524-0. (IF: 2.703)

3. Vasanthan, M Murugappan, Optimal Geometrical Set for Automated Marker Placement to Virtualized Real-Tie Facial Emotions, PlosOne, 11(2), Feb 2016. DOI: 10.1371/journal.pone.0149003. (IF: 2.766)

4. Yuvaraj, M Murugappan, Hemispheric Asymmetry Non Linear Analysis of EEG during Emotional Responses from Idiopathic Parkinson’s Disease Patients, Cognitive Neurodynamics, Springer. 1-10, Mar 2016. (IF: 2.000)

5. Arun, Kenneth S, M Murugappan, Physiological Measures based Detection of Driver Inattention using Machine Learning Approach, Biocybernetics and Biomedical Engineering, DOI:10.10.1016/j.bbe.2014.12.002. (IF: 1.374)

2015:

1. M Murugappan, Sabira Khatun, Subbulakshmi Murugappan, L Murukesan, Iqbal Omar, Time Domain Features based Sudden Cardiac Arrest Prediction using Machine Learning Algorithms, Journal of Medical Imaging and Health Informatics (JMIHI), Vol 4, pp, 1-14, 2015. (IF: 0.549)

2. R Yuvaraj,  M Murugappan,  Norlinah B R, Mohd Iqbal Omar, Kenneth Sundaraj, Khairiyah B A, Inter-hemispheric EEG coherence analysis in Parkinson's disease: Assessing brain activity during emotion processing, Journal of Neural Transmission. Springer Publisher, DOI: 10.1007/s00702-014-1249-4. (IF: 2.776)

3. Arun, S, Kenneth S, M Murugappan, Rajkumar Palaniappan, Physiological Signal based Detection of Driver Hypovigilance using Higher Order Spectra, Expert Systems with Applications, Elsevier, Vol 42, Issue 22, pp, 8669-8677, 2015. (IF: 3.768)

2014:

1. R Yuvaraj,  M Murugappan,  Norlinah B R, Iqbal Omar, Ramaswamy Palaniappan, Khairiyah B A, Kenneth Sundaraj,, Emotion Classification in Parkinson’s Disease by Higher Order Spectra and Power Spectrum Features using EEG Signals: A Comparative Study, Journal of Integrative Neuroscience, World Scientific Publisher, Vol 13, Issue 1, pp, 89-120 (DOI: 10.1142/S021963521450006X ), 2014. (IF: 0.662)

2. R Yuvaraj,  M Murugappan,  Norlinah B R, Iqbal Omar, Ramaswamy Palaniappan, Khairiyah B A, Kenneth Sundaraj, M Satyan, Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease, International Journal of Psychophysiology, Elsevier (DOI: 10.1016/j.ijpsycho.2014.07.014). (IF: 2.868)

3. Murukesan Loganathan, M Murugappan, Mohd Iqbal Omar, Saravanan K, “Machine Learning Approach for Sudden Cardiac Arrest (SCA) Prediction using Optimal Heart Rate Variability (HRV) Features, Journal of Medical Imaging and Health Informatics (JMIHI), American Scientific Publisher, Vol 4, pp, 1-12, 2014. (IF: 0.549)  

4. R Yuvaraj,  M Murugappan,  Norlinah B R, Iqbal Omar, Ramaswamy Palaniappan, Khairiyah B A, Kenneth Sundaraj, M Satyan, Detection of Emotions in Parkinson’s disease using Higher Order Spectral Features from brain’s electrical activity, Biomedical Signal Processing and Control, Elsevier Publisher. (DOI: 10.1016/j.bspc.2014.07.005). (IF: 2.943)

5. Arun, Kenneth S, M Murugappan, Electromyogram Signal Based Hypovigilance Detection, Biomedical Research, Vol 25, No 3, pp, 281-288, 2014. (IF: 0.219)

6. P Karthikeyan, M Murugappan, and S Yaacob, Multiple Physiological Signal-Based Human Stress Identification Using Non-Linear Classifiers, Journal of Electrical and Electronics, Lithuania, DOI: http:// dx.doi.org/ 10.5755/ j01.eee. 19.7.2232.  (SCOPUS)

7. P Karthikeyan, M Murugappan, and S Yaacob, Analysis of Stroop Colour Word Test based Human Stress Detection using Electrocardiography and Heart Rate Variability Signals, The Arabian Journal of Science and Engineering.  Vol 39, pp, 1835-1847, 2014, Springer. (IF: 1.092)

2013:

1. R Yuvaraj,  M Murugappan,  Norlinah B R, Iqbal Omar, Ramaswamy Palaniappan, Khairiyah B A, Kenneth Sundaraj, M Satyan, “On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing”, Behavioral and Brain Functions, PubMED Publisher, 2013 (DOI: 10.1186/1744-9081-10-12). (IF: 2.449)

2. R Yuvaraj,  M Murugappan,  Norlinah B R, Kenneth Sundaraj, Khairiyah B A, Review of Emotion Recognition in Brain Damaged Patients, Dementia and Geriatric Cognitive Disorders, Vol 36, Issue 3-4, pp, 179-196, Jul 2013. (IF: 2.886)

3. R Yuvaraj, M Murugappan, Norlinah B R, Kenneth Sundaraj, Khairiyah B A, Emotion processing in Parkinson's disease: an EEG spectral power study, International Journal of Neuroscience, 2013.(DOI: 10.3109/ 00207454. 2013.860527). (IF: 1.848)

4. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, S.Yaccob, ECG based Emotion Recognition System using Empirical Mode Decomposition and Discrete Fourier Transform, Expert Systems: The Journal of Knowledge Engineering, Wiley Blackwell, Published Online on 13 March 2013, DOI: 10.1111/exsy.1204. (IF: 1.43) 

5. Jerritta S, M Murugappan, Khairunizam Wan, Sazali Yaacob, Classification of emotional states from electrocardiogram signals: a non-linear approach based on Hurst, Biomedical engineering online, Vol 12, pp, 12-44, 2013. (Highly Accessed) (IF: 1.676)

6. Mousa K Wali , M Murugappan, R. Badlisha Ahmad, Subtractive Fuzzy Classifier based Driver Distraction Levels Classification using EEG, Journal of Physical Therapy Science, Japan, Vol 25, Issue 9, pp, 1-55-1058, 2013. (IF: 0.443)

7. Mousa K Wali, M Murugappan, R. Badlisha Ahmad, Classification of Driver Drowsiness Level using Wireless EEG, Electrical Review Journal, Vol 89, Issue No 6, pp, 113-117. 2013. 

8. Jerritta S, M Murugappan, Khairunizam Wan, Sazali Yaacob, Frequency Study of facial Electromyography signals with respect to emotion recognition, Biomedical Engineering Online, PubMED Publisher, 2013 (DOI: 10.1515/bmt-2013-0118) (IF: 1.676)

9. Mousa K Wali, M Murugappan, R. Badlisha Ahmad, Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG, Mathematical Problems in Engineering. 2013. (http://dx.doi.org/10.1155/2013/297587) (IF: 1.145)

10. Arun S, M Murugappan, and Kenneth Sundaraj, Detecting Driver Drowsiness based on Sensors: A Review, Sensors, USA, 12, 16937-16953, 2013. (IF: 2.475)

11. Arun Sahayadhas, Kenneth Sundaraj and Murugappan Murugappan, Drowsiness detection during diferent times of day using multiple features, Australasian Physical & Engineering Sciences in Medicine, Vol 36, pp, 243-250, 2013, DOI: 10.1007/s13246-013-0200-6. (IF: 1.032)

12. M Murugappan, Subbulakshmi Murugappan, Bong Siao Zheng, Frequency Band Analysis of Electrocardiogram (ECG) Signals for Human Emotional State Classification Using Discrete Wavelet Transform (DWT), Journal of Physical Therapy and Sciences (JPTS), 2013, vol 25, Issue 7, pp, 753-759, 2013. (IF: 0.443)

13. P Karthikeyan, M Murugappan, and S Yaacob, Detection of Human Stress Using Short-Term ECG and HRV Signal, Journal of Mechanics in Medicine and Biology, Word scientific, Singapore, vol 13, Issue 3, pp, 1-29, 2013. (IF: 0.575)

14. Mousa K Wali, M Murugappan, Badlisha Ahmad, Bong Siao Zheng, Development of EEG Data Acquisition Device by using TS 7800 Single Board Computer (SBC), International Journal of Medical Engineering and Informatics (IJMEI), Vol 5, No 3, 2013, Inderscience Publications. (IF:0.549)

15. Mousa K Wali , M Murugappan, R. Badlisha Ahmad, PNN based Driver Distraction Levels Classification using EEG, International Journal of Engineering and Technology, Vol 52, No 3, pp, 268-272, 2013. (SCOPUS)

16. Mousa K Wali, M Murugappan, R. Badlisha Ahmad, PNN Based Driver Drowsiness Levels Classification using EEG, Journal of Theoretical and Applied Information Technology, 2013, Vol 52, No 3, 268-272, 2013. (SCOPUS)

17. Bukari Illias, R Nagarajan, M Murugappan, Dr Kahled Helmy, Muhammad Asyraf Abdul Rahman, Awang Sabri Awang Omar, Hospital Nurse Following Robot: Hardware Development and Sensor Integration, 2013, International Journal of Medical Engineering and Informatics (IJMEI), Vol 6, Issue 1, pp, 1-8, 2013. (SCOPUS)

18. Bong Siao Zheng, M Murugappan, Sazali Yaacob, Methods and Approaches on Inferring Human Emotional Stress Changes through Physiological Signals: A Review, International Journal of Medical Engineering and Informatics (IJMEI), Inderscience Publisher, Vol 5, No 2, pp, 152-162, 2013. (SCOPUS)

2012:

1. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, S.Yaccob, Emotion Recognition from Facial EMG signals using Higher Order Statistics and Principal Component Analysis, Journal of the Chinese Institute of Engineers, Taylor and Francis, 2012, Published Online: DOI: 10.1080/02533839.7999.46. (IF: 0.471)

2. Arun S., Sundaraj Kenneth., M Murugappan, Hypovigilance detection using energy of Electrocardiogram signals, Journal of Scientific & Industrial Research, vol 71, Issue 12, pp, 794-799, 2012. (IF:0.534)

3. Mousa K Wali, M Murugappan, Badlisha Ahmad, Mathematical Implementation of Hybrid Fast Fourier Transform and Discrete Wavelet Transform For Developing Graphical User Interface Using Visual Basic for Signal Processing Applications, Journal of Mechanics in Medicine and Biology, World Scientific Publication, Vol 12, No 5, pp, 1240031-1 – 1240031-24, 2012. (IF: 0.575)

4. P Karthikeyan, M Murugappan, and S Yaacob, ECG Signal Denoising Using The Wavelet Thresholding Technique in Human Stress Assessment, International Journal on Electrical Engineering and Informatics, vol 4, Issue 2, pp, 305-319, 2012. (SCOPUS)

5. P Karthikeyan, M Murugappan, and S Yaacob, Descriptive Analysis of Skin Temperature Variability of Sympathetic Nervous System Activity in Stress, Journal of Physical Therapy Science, J-stage publisher, Japan, vol 24, Issue 12, pp, 1341-1344, 2012. (IF: 0.448)

6. Ku Nor Syamimi, Sazali Yaacob, M.Murugappan, Shafriza Nisha Basah,  Nur Hidayah Bt. Omar, Modeling of Lower Extremity for Joint Torques Determination by Performing A Lifting Task, Journal of Mechanical Engineering and Technology, vol. 4, No 2, Dec., 2012. (SCOPUS)

2011:

1. M Murugappan, R Nagarajan, and S Yaacob, Combining Spatial Filtering and Wavelet Transform for Classifying Human Emotions using Electroencephalogram (EEG) Signals, Journal of Medical and Biological Engineering (JMBE), Taiwan, vol 31, No 1, pp, 45-51, 2011. (IF: 1.211)

2010:

1. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, Inferring of Human Emotional States using Multichannel EEG, European Journal of Scientific Research (EJSR), EURO Journals, United Kingdom, vol 48, No 2, pp, 281-299, 2010. (SCOPUS)

2. M Murugappan, R Nagarajan, and S Yaacob, Classification of Human Emotions from EEG using Discrete Wavelet Transform, Journal of Biomedical Sciences and Engineering (JBiSE), USA, vol 3, pp, 390-296, 2010. (SCOPUS)

2009:

1. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, An Investigation on Visual and Audiovisual Stimulus based Human Emotion Recognition using EEG, International Journal of Medical Engineering and Informatics, Inderscience Publication, Switzerland. Vol 1, No 3, pp, 342-356, 2009. (SCOPUS)

2. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, Wavelet Based Feature Extraction for Human Emotions from EEG Associated with FCM, International Journal of Biomedical Soft-computing and Human Sciences (BSCHS), Japan, Vol 14, No 2, pp, 27-34, 2009. (SCOPUS)

2008:

1. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, Asymmetric Ratio and FCM based Salient Channel Selection for Human Emotion Detection using EEG, International Journal of Signal Processing, WSEAS Publications, United Kingdom, vol 4, Issue 10, pp, 596-603, 2008. (SCOPUS)

2. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, Wavelet based Feature Extraction for Human Emotion Classification: Preliminary Results, International Journal of Advanced Computations (IJAC), vol 2, pp, 52-56, 2008. (SCOPUS)

2007:

1. M Murugappan, M Rizon, R Nagarajan, S Yaacob, H Desa, and Z Ibrahim, EEG Feature Extraction for Classifying Emotions Using FCM and FKM, International Journal of Computers and Communications, WSEAS Publication, United Kingdom. Vol 1, Issue 2, pp, 21-25, 2007. (SCOPUS)

Peer- Reviewed Conferences (IEEE & Springer):

2022

[C1]. Jerritta S, M Murugappan, Manasa D, Gayathri, R., Discrete Wavelet Transform based Pain Assessment using Multiple Physiological Signals, 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2022), 16-18 Feb 2022, IEEE Publisher, India. (Accepted)

[C2]. Jerritta S, M Murugappan, Bharathi, Vidhya R, Ranjana Rajagopal, Hari Hara Sudhan, Facial Geometrical Features based Pain Assessment using KNN and Regression Tree Classifiers, 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2022), 16-18 Feb 2022, IEEE Publisher, India. (Accepted)

[C3]. M Murugappan, S Ayyappan, Review of Diabetic Retinopathy Detection and Grading using Machine and Deep Learning Methods, International Conference on “Emerging Technologies and Applications for a Smart and Sustainable World”, IEEE Publisher, 16-18 Dec 2021, India.

2021

[C4]. M.G.Sumithra, M Murugappan, Efficient Clustering of Unlabeled Brain DICOM Images based on Similarity, International Conference on Computing, Communication, Electrical and Biomedical Systems, 25-26 Mar 2021. IOP Conference Series Publication.  

[C5]. M Murugappan, Waheed Alshuaib, Ali Boursily, Sai Sruthi, Jerritta S, Ranjana R, Recurrence Quantification Analysis based Emotion Detection in Parkinson’s disease using EEG Signals, 4th IEEE Conference on Computer, Communication, and Signal Processing, (ICCCSP), Apr 22-23, 2020, India. DOI:  10.1109/ICCCSP49186.2020.9315244

[C6]. M Murugappan, A M Muttawa, Sai Sruthi, Aya Hasseouneh, Jerritta S, Ranjana R, Ali A Salam, Facial Expression Classification using KNN and Decision Tree Classifiers, 4th IEEE Conference on Computer, Communication, and Signal Processing, (ICCCSP), Apr 22-23, 2020, India. DOI: 10.1109/ICCCSP49186.2020.9315234

[C7]. Wen Yean Choong, Wan Khairunizam Wan Ahmad, Murugappan Murugappan, Mohammad Iqbal Omar, Bong Siao Zheng, Ahmad Kadri Junoh, Zuradzman Mohamad Razlan, Shahriman Abu Bakar and Wan Azani Wan Mustafa, Hurst Exponent based Brain Behavior Analysis of Stroke Patients using EEG Signals, National Technical Seminar on Unmanned System, Springer, 2021. DOI: 10.1007/978-981-15-5281-6_66

[C8]. M. Murugappan, V Ayappan, A Review of Diabetic Retinopathy Detection and Grading using Machine Learning and Deep Learning Algorithms, International Conference on Emerging Technologies and Applications for a Smart and Sustainable World, IEEE, 16-18 Dec 2021, India. (Accepted)

2020:

[C9]. M Murugappan, Waheed Alshuaib, Ali Boursily, Sai Sruthi, Wan Khairunizam, Bibin Shalini, Wen Yean, Emotion Classification in Parkinson’s Disease EEG using RQA and ELM, 16th IEEE Colloquium on Signal Processing, (CSPA), pp, 290-295, 2020. (Best Paper Award)

[C10]. M Murugappan, Vasanthan Maruthapillai, Wan Khairunizam, A M Muttawa, Sai Sruthi, Wen Yean, Virtual Markers based Facial Emotion Recognition using ELM and PNN Classifiers, 16th IEEE Colloquium on Signal Processing, (CSPA), pp, 261-265, 2020.

[C11]. Wan Khairunizam, Wen Yean Choong, Murugappan Murugappan, Ahmad Kadri J, Zuradzman M R, Shahriman A B, Wan Azani W M, Zunaidi I, An Experimental Framework for Assessing Emotions of Stroke Patients using Electroencephalogram (EEG), International Conference on Computing, Information, Sciences and Engineering, Malaysia, IOP Publisher, 1529, 052072, 2020. DOI: 10.1088/1742-6596/1529/5/0520721529

[C12]. Choong Wen Yean, Wan Khairunizam, Mohammad Iqbal Omar, Murugappan Murugappan, Zunaidi Ibrahim, Bong Siao Zheng, Shahriman Abu Bakar, Zuradzman Mohamad Razlan, Wan Azani Mustafa, Emotional states analyze from scaling properties of EEG signals using hurst exponent for stroke and normal groups, Intelligent Manufacturing and Mechatronics. SympoSIMM 2019, Springer, pp, 526-534, 2020.

[C13]. Chong W Y, Murugappan M, Wan K, Mohammad I O, Bong Siao Zheng, Alex Noel Joseph Raj, Zunaidi I, A Study of Non-Gaussianity in Emotional EEG in Stroke Patients, Advances in Electrical and Computer Technologies, Lecture Notes in Electrical Engineering, Springer, India, 635-645, 2020.

[C14]. M Murugappan, Hui Boon, Alex Noel Joseph Raj, Gokul Krishnan, Karthikeyan Palanisamy, ECG Morphological Features based Sudden Cardiac Arrest (SCA) Prediction using Nonlinear Classifiers, Advances in Electrical and Computer Technologies, Lecture Notes in Electrical Engineering, Springer, India, 789-801, 2020.

[C15]. Anandhi B, Jerritta S, M Murugappan, Anusuya I G, Himangsu Das, Alex Noel Joseph Raj, Performance Analysis of Wavelet Transform in the Removal of Baseline Wandering From ECG Signals in Children with Autism Spectrum Disorder (ASD), Advances in Electrical and Computer Technologies, Lecture Notes in Electrical Engineering, Springer, India, 885-89, 2020.

2019:

[C16]. Ramaswamy Palaniappan, Aruna D, M Murugappan, Nithyakalyani C, Predicting Java Computer Programming Task Difficulty Levels using EEG for Educational Environments, HCI International 2019 Conference, Springer, pp, 446-460, 2019.

[C17]. Choong Wen Yean, Wan Khairunizam, Mohammad Iqbal Omar, Murugappan Murugappan, Zunaidi Ibrahim, Bong Siao Zheng, Shahriman Abu Bakar, Zuradzman Mohamad Razlan, Emotional States Analyze from Scaling Properties of EEG Signals Using Hurst Exponent for Stroke and Normal Groups, Symposium on Intelligent Manufacturing & Mechatronics 2019, Intelligent Manufacturing and Mechatronics, Springer, 526-534, 2019.

2018:

[C18]. Chong W Y, Wan K, Mohammad I O, Murugappan M, Bong Siao Zheng, Shahriman A B, Zuradzman M R, Zunaidi I, Analysis of Distance Metrics of KNN Classifier for EEG Signal in Stroke Patients, International Conference on Computational Approach in Smart Systems Design and Applications, IEEE Publisher, pp, 1-4, 2018, Malaysia.

[C19]. Fauzi M, Abdullah A H, Vijean V, M Murugappan, M Bakar, Review of brain functional connectivity emotional analysis in Parkinson’s Disease Patients, AIP Conference Proceedings 2013, 020013, 2018. (https://doi.org/10/1063/1.5054212) (Scopus)

2014:

[C20]. M Murugappan, Reena Thirumani, Mohd Iqbal Omar, Subbulakshmi Murugappan, Development of Cost-Effective ECG Data Acquisition System using LabVIEW for Clinical Applications, 10th IEEE Colloquium on Signal Processing and its Applications, 7-9 March 2014, pp, 100-105, Kuala Lumpur, Malaysia.

[C21]. M Murugappan, Subbulakshmi Murugappan, Balaganapathy, Celestin Gerard, EEG Based Neuromarketing System based on Fast Fourier Transform (FFT), 10th IEEE Colloquium on Signal Processing and its Applications, 7-9 March 2014, pp, 25-20, Malaysia.

2013:

[C22]. M Murugappan, Mousa K Wali, R. Badlisha Ahmad, Subbulakshmi Murugappan. Subtractive Fuzzy Classifier based Driver Drowsiness Levels Classification using EEG.  IEEE International Conference on Communication and Signal Processing (ICCSP 2013), pp, 159-164, 3-5 April 2013, India.

[C23]. Bong Siao Zheng, M. Murugappan, Sazali Yaacob, FCM Clustering of Emotional Stress using ECG Features, IEEE International Conference on Communication and Signal Processing (ICCSP 2013), pp, 305-309, 3-5 April 2013, India.

[C24]. Bong Siao Zheng, M. Murugappan, Sazali Yaacob, Human Emotional Stress Analysis through Time Domain Electromyogram Features, International Symposium on Industrial Electronics and Applications (ISIEA 2013), pp, 172-177, 22-25 September, 2013, Malaysia.

[C25]. M Murugappan, Subbulakshmi Murugappan, Human Emotion Recognition Through Short time Electroencephalogram (EEG) Signals using Fast Fourier Transform (FFT), IEEE Colloquium on Signal Processing and its Applications (CSPA2013), pp, 289-294, 23-25 Feb 2013, Malaysia.

[C26]. Murukesh Loganathan, M Murugappan, Mohd Iqbal Omar, Sudden Cardiac Death Prediction using ECG Signal Derivative (Heart Rate Variability) : A Review, IEEE Colloquium on Signal Processing and its Applications (CSPA2013), pp, 269-274, 23-25 Feb 2013, Malaysia.

[C27]. Jerritta S, M Murugappan, Khairunizam Wan, Sazali Bin Yaacob,  Emotion detection from QRS complex of ECG signals using Hurst Exponent for different age groups, IEEE 3rd Workshop on Affective Brain-Computer Interfaces, Geneva, Switzerland, pp, 849-854, 2013.

2012:

[C28]. Ku Nor Syamimi, Sazali Yaacob, M Murugappan, Shafriza B Nisha Basah, Human Postures Modeling using Motion Analysis: A Review, International Conference on Bio-Medical Engineering (ICoBE 2012), IEEE Publication, pp, 280-285, 27-28 Feb 2012, Penang, Malaysia.

[C29]. M.Murugappan, P Karthikeyan, Bon Zio Zheng Ku, Norsyamimi Bt. Ku Ismail, and Sazali Yaacob, A Physiological Signal Based Approach to Infer Stress through Emotion, Physical, and Cognitive Stimuli:  A Review. International Conference on Man Machine Systems ICoMMS (ICoMMS 2012), 27-28 February 2012, Penang.(CD ROM Proceedings).

[C30]. M Murugappan, Nurul Qasturi Idayu Baharuddin, Jerritta S, DWT and MFCC Based Human Emotional Speech Classification using LDA, International Conference on Bio-Medical Engineering (ICoBE 2012), IEEE Publication, pp, 203-206, 27-28 Feb 2012, Penang, Malaysia.

[C31]. Mousa K Wali, M Murugappan, Badlisha Ahmad, Bong Siao Zheng, Development of Discrete Wavelet Transform (DWT) Toolbox for Signal Processing Applications, International Conference on Bio-Medical Engineering (ICoBE 2012), IEEE Publication, pp, 211-216, 27-28 Feb 2012, Penang, Malaysia .

[C32]. M Murugappan, P Karthikeyan, Bong Siao Zheng, Ku Nor Syamimi, Sazali Yaacob, A Physiological Signal Based Approach to Infer Stress through Emotion, Physical, and Cognitive Stimuli: A Theoretical Frame Work, International Conference on Man Machine Systems (ICoMMS 2012), 27-28 Feb 2012, Penang, Malaysia (In CD-ROM Proceedings).

[C33]. Sazali Yaacob, Ku Nor Syamimi, M.Murugappan, Shafriza Nisha Basah, Human Postures Modeling using Motion Analysis, IEEE International Conference on Biomedical Engineering, 2012, pp. 280-285.

[C34]. Ku Nor Syamimi Bt Ku Ismail, Shafriza Nisha Basah, Nur Hidayah Bt. Omar, M.Murugappan, Sazali B.Yaacob, Mathematical Modeling of Human Body for Lifting Task, IEEE International Conference on Control System, Computing and Engineering, pp, 149-154, 2012.

[C35]. Nurul Hikmah Kamarudin, M Murugappan, Mohd Iqbal Omar, Early prediction of Cardiovascular Diseases using ECG signal: Review, IEEE Student Conference on Research and Development, Pulau Penang, Malaysia, pp, 48-53, 2012. 

[C36]. M. Vasanthan, M. Murugappan, R. Nagarajan, Mr. Bukhari Ilias,  J. Letchumikanth, Facial Expression Based Computer Cursor Control System for Assisting Physically Disabled Person. IEEE International Conference on Communication, Networks and Satellite (COMNETSAT 2012), pp, 172-176, 2012.

[C37]. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, S Yaccob, Emotion Recognition from Electrocardiogram Signals using Hilbert Huang Transform, The Third IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, pp, 82-86, 2012.

[C38]. Intan Farlina Zaimatulaili,  M. Murugappan, Wan Khairunizam  B. Wan Ahmad, Human Emotions Classification And Eeg Channel Reduction: A Review, International Malaysia-Ireland Joint Symposium on Engineering, Science And Business 2012  (CD-ROM Proceedings)

[C39]. Mousa K Wali, M Murugappan, R. Badlisha Ahmad, Embedded System (Ts7800) based EEG data acquisition system, International Malaysia-Ireland Joint Symposium on Engineering, Science And Business 2012, 2012 (CD-ROM Proceedings)

[C40]. Bong Siao Zheng, M. Murugappan, Sazali Yaacob, Human Emotional Stress Assessment Through Heart Rate Detection in a Customized Protocol Experiment, 2012 IEEE Symposium on Industrial Electronics and Application, Bandung, Indonesia, pp, 297-302, 2012.

[C41]. Bong Siao Zheng, M. Murugappan, Sazali Yaacob, Analysis of Electrocardiogram (ECG) Signals for Human Emotional Stress Classification, Communication in Computer and Information Sciences, Springer, vol 330, pp. 198–205, 2012

[C42]. P.Karthikeyan, M. Murugappan, S.Yaacob, A Study on Mental Arithmetic Task based Human Stress Level Classification Using Discrete Wavelet Transform and Principal Component Analysis, Third IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE STUDENT 2012), pp, 77 – 81, 2012.

[C43]. P.Karthikeyan, M. Murugappan, S.Yaacob, EMG Signal Based Human Stress Level Classification Using Wavelet Packet Transform, Communications in Computer and Information Science (Springer), vol. 330, pp 236-243,  2012, Kuala Lumpur.

[C44]. Yuvaraj.R, M.Murugappan, Kenneth Sundaraaj, Methods and Approaches on Emotions Recognition in Neurodegenerative Disorders: A Review, IEEE Symposium on Industrial Electronics & Applications (ISIEA 2012), Bandung, Indonesia, pp, 287-292, 2012.

[C45]. Arun, S., Sundaraj, K., Murugappan, M, Driver inattention detection: A review, 2012 IEEE Sustainable Utilization and Development in Engineering and Technology, pp. 1-6, 2012.

[C46]. Arun, S., Sundaraj, K., & Murugappan, M. Challenges in developing a Driver Monitoring System, 2nd International Malaysia – Ireland Joint Symposium on Engineering, Science and Business, pp. 969-975, 18-19 June 2012. (CD ROM Proceedings)

[C47]. Yuvaraj.R, M.Murugappan, Kenneth Sundaraaj, EEG in Neurological Disorders: Parkinson's disease and Stroke, IEEE Student Conference on Research and Development, IEEE Proceedings, Malaysia, pp, 32-37, 2012.  

2011:

[C48]. M Murugappan, Electromyogram Signal Based Human Emotion Classification using KNN and LDA, IEEE Control & System Graduate Research Colloquium (ICSGRC2011), pp, 106-110, 27-28 June 2011, Malaysia,

[C49]. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, Physiological Signal Based Human Emotion Recognition: A Review, IEEE Colloquium on Signal Processing and its Applications, pp, 410-415, 4-6, March 2011, Malaysia.

[C50]. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, Investigation on Different Emotion Elicitation Methods for Human Computer Interaction, International Conference on Robotics and Automation System (ICORAS 2011), 23-24 May 2011, pp, 130-134, Malaysia.

[C51]. P Karthikeyan, M Murugappan, S Yaacob, A Review on Stress Inducement Stimuli for Assessing Human Stress Using Physiological Signals, IEEE Colloquium on Signal Processing and its Applications (CSPA2010), 4-6, March 2011, pp, 420-425, 2011.

[C52]. S Arun, M Murugappan, Kenneth Sundaraj, Hypovigilance Warning System: A Review on Driver Alerting Techniques, IEEE Control & System Graduate Research Colloquium (ICSGRC2011), pp, 65-69, 27-28 June 2011, Malaysia.

[C53]. Jerritta, S, M Murugappan, R Nagarajan, Khairunizam Wan, Digital Filtering based Pre-processing of Electrocardiogram (ECG) Signals for Human Emotion Recognition Malaysian Technical Universities International Conference on Engineering and Technology, 13-15 November 2011, Batu Pahat, Malaysia (CD ROM Proceedings)

[C54]. P Karthikeyan, M Murugappan, S Yaacob, ECG Signals Based Mental Stress Assessment Using Wavelet Transform, IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2011), pp, 258-262, 25 – 27 November, 2011, Penang, Malaysia.

2010:

[C55]. M Murugappan, Mohamed Rizon, R Nagarajan, Ali S. AlMejrad, and S Yaacob, Comparison of Human Emotion Recognition through Different Set of EEG Channels, The Fifteenth Symposium on Artificial Life and Robotics 2010, Beppu, Oita, Japan, pp, 223-238, Feb 4-6, 2010.

[C56]. M Murugappan, Human Emotion Classification using Wavelet Transform and KNN, International Conference on Pattern Analysis and Intelligent Robotics (IEEE Proceedings), pp, 148-153, 28-29 June, 2010, Malaysia.

2009:

[C57]. M Murugappan, R Nagarajan, and S Yaacob, KNN and LDA Based Classification of Discrete Human Emotion using Electroencephalogram, International Conference on Software Technology and Engineering, India,  World Scientific Publications, vol 22, 322-328, July 2009. ISBN: 13-978-381-4289-97.

[C58]. M Murugappan, R Nagarajan, and S Yaacob, Appraising Human Emotions using Time-Frequency Analysis based EEG Alpha Band Features, Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), Malaysia, IEEE Publication, pp, 70-75, 25-26, July 2009. ISBN: 978-1-4244-2887-8.

[C59]. M Murugappan, R Nagarajan, and S Yaacob, Comparison of Different Wavelet Features from EEG Signals for Classifying Human Emotions, International Symposium on Industrial Electronics and Applications (ISIEA 2009), (IEEE Proceedings), Malaysia, pp, 829-834, 4-6 Oct, 2009. ISBN: 978-1-4244-4682-7.

[C60]. M Murugappan, R Nagarajan, and S Yaacob, Modified Energy based Time-Frequency Features for Classifying Human Emotions using EEG, PP, 1A1-1 – 1A1-5, 2009. ISBN: 978-967-5425-06-7, International Conference on Man Machine Systems (ICoMMS 2009), Malaysia, 11-13, 2009.

2008:

[C61]. M Murugappan, M Rizon, R Nagarajan, S Yaacob, I Zuanidi and D Hazry, Lifting Scheme for Human Emotion Recognition using EEG, International Symposium on Information Technology (ITSIM 2008), Kuala Lumpur, Malaysia. (IEEE Proceedings), Vol 2, pp, 978-985, 2008. ISBN: 978-1-4244-2328-8,

[C62]. M Murugappan, M Rizon, R Nagarajan, S Yaacob, M Sugisaka, and M Karthigayan, Feature Extraction Methods for Human Emotion Recognition using EEG – A Study, Proceedings in Malaysia – Japan International Symposium on Advanced Technology, Kuala Lumpur, Malaysia, 12- 15 Nov 2007, CD ROM Proceedings.

[C63]. M Murugappan, M Rizon, R Nagarajan, and S Yaacob, Lifting Wavelet Transform Based Feature Extraction for Human Emotion Recognition using EEG, pp, 1-4, Feb 21 – 22, 2008. ISBN: 978-81-906457-1-3, International Conference on Advanced Computing (ICAC 2008), Maharashtra, India.