Signal Processing for Physiological Signals

2019-2020 Summer
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

In this project, students specifically will be working with non-invasive multi-modal physiological signals (ECG,PPG,BP,respiration), where the data has already been collected. Similarity of the physiological signals has been used to generate keys for cryptography. Here, goal is to enhance the performance of the existing algorithms by incorporating unique physiological aspects of the problem.

Related Areas of Project: 
Computer Science and Engineering
Molecular Biology, Genetics and Bioengineering
Electronics Engineering
Mechatronics Engineering
Industrial Engineering

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