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Personal profile

Research Interests

Biomedical Engineering

External positions

Fingerprint Dive into the research topics where Muralidhar G Bairy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Electroencephalography Engineering & Materials Science
Entropy Engineering & Materials Science
Brain Engineering & Materials Science
Autistic Disorder Medicine & Life Sciences
Nonlinear Dynamics Medicine & Life Sciences
Biomedical engineering Engineering & Materials Science
Classifiers Engineering & Materials Science
Signal processing Engineering & Materials Science

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Research Output 2012 2019

  • 164 Citations
  • 7 h-Index
  • 13 Article
  • 2 Conference contribution
  • 1 Review article

Complexity analysis in focal epilepsy using entropy methods

Upadhyaya, P., Muralidhar Bairy, G. & Yagi, T., 01-01-2019, In : IEEJ Transactions on Electronics, Information and Systems. 139, 9, p. 1027-1032 6 p.

Research output: Contribution to journalArticle

Entropy
Brain
Electroencephalography
Neurons
Support vector machines

Computerized analysis of EEG to determine focal epilepsy

Upadhyaya, P., Muralidhar Bairy, G. & Yagi, T., 01-01-2019, In : IEEJ Transactions on Electronics, Information and Systems. 139, 5, p. 609-614 6 p.

Research output: Contribution to journalArticle

Electroencephalography
Brain
Fractal dimension
Support vector machines
Classifiers

EMPIRICAL MODE DECOMPOSITION-BASED PROCESSING for AUTOMATED DETECTION of EPILEPSY

Muralidhar Bairy, G. & Hagiwara, Y., 01-02-2019, In : Journal of Mechanics in Medicine and Biology. 19, 1, 1940003.

Research output: Contribution to journalArticle

Electroencephalography
Decomposition
Processing
Brain
Learning systems

Alcoholic index using non-linear features extracted from different frequency bands

Muralidhar Bairy, G., Niranjan, U. C., Oh, S. L., Koh, J. E. W., Sudarshan, V. K., Tan, J. H., Hagiwara, Y. & Ng, E. Y. K., 01-11-2017, In : Journal of Mechanics in Medicine and Biology. 17, 7, 1740009.

Research output: Contribution to journalArticle

Frequency bands
Entropy
Electroencephalography
Brain
Support vector machines
7 Citations (Scopus)

Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals

Sridhar, C., Acharya, U. R., Fujita, H. & Bairy, G. M., 06-02-2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 545-549 5 p. 7844296

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Coronary Artery Disease
Electrocardiography
Cardiac
Entropy
Discrete wavelet transforms