PARAMASIVAM. A
Registration No.: 1614339135
Topic of Research: Design of electrogastrogram based diagnostic assistance systems
Awards/Fellowships/Scholarships :
Interational Journals:
1. Alagumariappan, P., Krishnamurthy, Ponnuswamy, M. J., Selection of Surface Electrodes for Electrogastrography and Analysis of Normal and Abnormal Electrogastrograms using Hjorth Information. International Journal of Biomedical Engineering and Technology. (In Press)
2.Alagumariappan, P., Krishnamurthy, K., Kandiah, S., & Ponnuswamy, M. J. (2017). Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy. Polish Journal of Medical Physics and Engineering, 23(2), 37-42.
Interational Conferences:
1. Paramasivam, A., Kamalanand, K., Emmanuel, C., Mahadevan, B., Sundravadivelu, K., Raman, J., Mannar Jawahar, P., Influence of Electrode Surface Area on the Fractal Dimensions of Electrogastrograms and Fractal Analysis of Normal and Abnormal Digestion Process, IEEE International Conference RTECC-’18, 279-284, 2018.
2. Alagumariappan, P., & Krishnamurthy, K. (2018). An Approach Based on Information Theory for Selection of Systems for Efficient Recording of Electrogastrograms. In Proceedings of the International Conference on Computing and Communication Systems (pp. 463-471). Springer, Singapore.
3. Paramasivam Alagumariappan, Kamalanand Krishnamurthy, Analysis of Normal and Abnormal electrogastrograms using Teager-Kaiser Energy, International Conference on Energy and Environment, 134-136, 2017.
4. Alagumariappan, P.; Rajagopal, A.; Krishnamurthy, K. Complexity Analysis on Normal and Abnormal Electrogastrograms Using Tsallis Entropy. In Proceedings of the 3rd Int. Electron. Conf. Entropy Appl., 1–10 November 2016; Sciforum Electronic Conference Series, Vol. 3, 2016 , A003; doi:10.3390/ecea-3-A003
5. Sahana, A. S., Paramasivam, A., & Kamalanand, K. (2017, March). Experimental investigations on capacitive imaging of biological materials. In Biosignals, Images and Instrumentation (ICBSII), 2017 Third International Conference on (pp. 1-3). IEEE.
6. Anand, V; Narendran, R; Paramasivam, A. , Mathematical Modelling of India’s Population and Rice Production with Entropy Maximization, International Conference on Sustainable Energy & Environmental Sciences (SEES). Proceedings; Singapore: 28-32. Singapore: Global Science and Technology Forum. (2017)
National Conferences:
Other country visits:
