Dr. Shriram Raghunathan
Cyberonics, Inc., USA
Email: shriram.r84@gmail.com
Qualifications
2010 Ph.D., Biomedical
Engineering, Purdue University, West Lafayette, USA
2006 B.Sc., Electronics and
Communication Engineering, Anna University, India
Publications (Selected)
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S. Raghunathan, S. K. Gupta, M. P. Ward, K.
Roy and P. P. Irazoqui, “The design and hardware implementation of a low-power
real-time seizure detection algorithm”, J. Neural Eng 6 (2009) 056005
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S. Raghunathan, S. K. Gupta, H. Markandeya,
K. Roy and P. P. Irazoqui, “A hardware-algorithm co-design approach to optimize
seizure detection algorithms for implantable applications”, J. Neurosci Methods
(2010)
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In revisions- S. Raghunathan, S. K.
Gupta, H. Markandeya, K. Roy and P. P. Irazoqui, “A low-power hardware solution
to increase the efficacy of seizure detection algorithms for implantable
applications” Med. Eng. Phys
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S. Raghunathan, S.K. Gupta, P.P. Irazoqui
and K. Roy, “Low-power circuit design for implantable devices application to
epilepsy prostheses”, (Invited paper) J. Low Power Electron. Appl.
2010 (Special issue)
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S. Raghunathan, A. Jaitli and P.P.
Irazoqui, “Multistage seizure detection techniques optimized for low-power
hardware platforms”, Epilepsy & Behavior, Vol 22, Sup 1, Dec 2011 (pp
61-68)
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M. Sharad, S. K. Gupta, S.
Raghunathan, P.P. Irazoqui and K. Roy, “Low-Power Architecture for Epileptic
Seizure Detection Based on Reduced Complexity DWT”, ACM Journal on Emerging
Technologies in Computing Systems, Special Issue on Implantable Electronics,
2012
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In review- H. Markandeya, S.
Raghunathan, G. Karakonstantis, P.P. Irazoqui and K. Roy, “Using hardware
optimized discrete-wavelet transforms to detect epileptic seizures in an animal
model of epilepsy”, IEEE T. VLSI Circuits and Systems (2012)