N.sriraam
Professor
Medical Electronics
Ramaiah Institute of Technology
India
Biography
N Sriraamreceived the B.E. degree in Electronics and Communication engineering(ECE) from the National Engineering College ,Tamil Nadu, India ,in 1996,the M.Tech degree(with distinction)in Biomedical Engineering from Manipal Institute of Technology(MIT),Manipal,India,in 2000,and the Ph.D. degree in Information Technology from the Multimedia University ,Cyberjaya,Malaysia, in the area of biomedical signal processing, in 2007.He is currently working as Professor and Head ,Department of Medical Electronics ,M.S.Ramaiah Institute of Technology,Bangalore,India.He is the author or coauthor of 150 articles published in journals and has been involved in several sponsored research projects .His current research interests include biomedical signal processing, data mining ,neural networks. He is the editor –in-chief of:International Journal of Biomedical and Clinical Engineering (IJBCE) and also reviewing panel member for Journals such as IEEE Transactions on Signal Processing Communications ,IEEE Electronics letters ,Elsevier publications such as Digital Signal Processing ,Computers in Biology and Medicine, Expert Systems, Medical Informatics, Neurocomputing, Journal of Medical Systems .Dr. Sriraam is Senior Member of IEEE and IEEE Engineering in Medicine and Biology Society(EMBS),Signal Processing Society, life member of telemedicine Society of India and member of medical computer society of India.
Research Interest
Cognitive Neuroscience, BioSensor, Biomedical Signal and Image Processing, Telemedicine
Publications
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Avvaru Srinivasulu and N. Sriraam, “An Engineering Perspective of External Cardiac Loop Recorder: A Systematic Review,†Journal of Medical Engineering, vol. 2016, Article ID 6931347, 16 pages, 2016. doi:10.1155/2016/6931347
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T.K.Padmashri and N.Sriraam, Comparison of t-test Ranking and SEPCOR Feature Selection for Wake and Stage 1 Sleep Pattern Recognition in Multichannel Electroencephalograms,Biomedical Signal Processing and Control,Elsevier,UK Volume 31, January 2017, Pages 499–512 (Impact Factor: 2.2)
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N.Sriraam, T.K.Padmashri and Uma Maheswari, Recognition of Wake-Sleep Stage 1 Multichannel EEG Patterns Using Spectral Entropy Features for Drowsiness Detection, Australasian Physical & Engineering Sciences in Medicine,Springer, (2016) 39:797–806.