July 24, 2017
The device when placed into existing MRI machines could allow medical professionals to monitor patients more effectively and safely
July 20, 2017
A technology being developed at Purdue University could provide an affordable, smart, self-learning device that, when placed into existing MRI machines could allow medical professionals to monitor patients more effectively and safely, by performing concurrent medical imaging and recording for diagnostic purposes.
July 17, 2017
The course will cover practical problems in biomedical signal processing, along with the necessary theoretical background. Students may use MATLAB or Python (their choice) for the exercises and projects. Although the signal processing concepts will be discussed generally, the examples used will prominently feature brain signals and neural engineering applications. A detailed syllabus, along with a tentative schedule is attached. I am happy to provide any clarifications or further information via e-mail: hbharadwaj@purdue.edu
Read More about "BME 595 - Biomedical Signal Processing Fall Course"
April 13, 2017
Congratulations to Dr. Bridgette Tonnsen who is the winner of the Most Distinguished Faculty for Research Award!
Read More about "Dr. Bridgette Tonnsen Wins the Most Distinguished Faculty for Research Award"
