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Ramakrishna Mukkamala

Ramakrishna Mukkamala

Ramakrishna Mukkamala

Professor

Biography

Ramakrishna Mukkamala is a cardiovascular researcher and signal processing instructor.  His research interests include biomedical signal processing and system identification, physiologic modeling, physiologic sensing, cardiovascular physiology, and patient monitoring.  His courses include ECE 366 (Introduction to Signal Processing), ECE 446 (Biomedical Signal Processing), and ECE 466 (Digital Signal Processing and Filter Design).  He also serves as an Associate Editor for the IEEE Transactions on Biomedical Engineering, the Editor of the Cardiovascular and Respiratory Systems Engineering Theme of the IEEE EMBS Conference Proceedings, and a member of the IEEE EMBS Technical Committee on Cardiopulmonary Systems.

Research Area
Awards
General Motors Scholarship Plan, 1991-1993
Whitaker Foundation Fellowship in Biomedical Engineering, 1993-1998
AHA Scientist Development Grant, 2005-2009
NSF CAREER Award, 2007-2013
MSU Teacher-Scholar Award, 2008
MSU College of Engineering Withrow Teaching Excellence Award, 2017
Education
B.S.E., Biomedical/Electrical Engineering, Duke University, 1993
S.M., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1995
Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2000
Post-Doctoral, Harvard-MIT Division of Health Sciences and Technology, 2001
Publications
Chandrasekhar A, Kim CS, Naji M, Natarajan K, Hahn JO, Mukkamala R. Smartphone-based blood pressure monitoring via the oscillometric finger pressing method. Science Translational Medicine, 10, eaap8674, 2018 ( http://stm.sciencemag.org/cgi/content/full/10/431/eaap8674?ijkey=dJbNbHyBMRwgY&keytype=ref&siteid=scitransmed )
Natarajan K, Cheng HM, Liu J, Gao M, Sung SH, Chen CH, Hahn JO, Mukkamala R. Central blood pressure monitoring via a standard automatic arm cuff. Scientific Reports, 7(1):14441, 2017.
Martin SL, Carek AM, Kim CS, Ashouri H, Inan OT, Hahn JO, Mukkamala R. Weighing scale-based pulse transit time is a superior marker of blood pressure than conventional pulse arrival time. Scientific Reports, 6:39273, 2016.
Kim CS, Ober SL, McMurtry MS, Finegan BA, Inan OT, Mukkamala R*, Hahn JO*. Ballistocardiogram: mechanism and potential for unobtrusive cardiovascular health monitoring. Scientific Reports, 6:31297, 2016.
Moslehpour M, Kawada T, Sunagawa K, Sugimachi M, Mukkamala R. Nonlinear identification of the total baroreflex arc: chronic hypertension model. American Journal of Physiology, 310(9):R819-R827, 2016.
Mukkamala R, Hahn JO, Inan OT, Mestha LK, Kim CS, Toreyin H, Kyal S. Toward ubiquitous blood pressure monitoring via pulse transit time: theory and practice. IEEE Transaction on Biomedical Engineering, 62(8):1879-1901, 2015.