Biomedical data convey information about the physiological processes and underlying abnormalities of the human body. Processing of the biomedical data (ECG, EEE, MRI, PCG etc) collected using multiple sensors/devices provides vital information about human health. However, analysis of data using traditional techniques are time consuming and ineffective due to the availability of vast amount of recorded data and limited resources. Thus, more advanced automated AI-assisted systems are required to reveal significant information related to the human health. Motivated by these facts, this research work focuses on the development of AI assisted systems for biomedical data processing. The methodology will combine methods from signal/image processing, deep learning, artificial intelligence etc. Publication of results will be an integral part of the PhD program.
Center for Computational Engineering and Networking (CEN), Coimbatore Campus
M.Tech Degree in Signal Processing, Artificial Intelligence, Computer Science Engineering or another related domain
Some background in programming languages such as Python, Matlab
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