Signal Processing for Physiological Signals

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

Project Description
In this project, students specifically will be working with non-invasive multi-modal physiological signals (ECG+PPG), 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
Electronics Engineering
Mechatronics Engineering

About Project Supervisors