Research Area:
Wearable sensors, unobtrusive sensing, embedded systems, health monitoring.
Associate Professor Omid Kavehei.
This project aims to create unobtrusive sensor systems to monitor physiological and behavioural data of human body. The signals include EEG, ECG, EOG, EMG, respiration, SpO2, temperature, activities, etc.. The candidate will develop innovative wearable sensing or non-contact sensing techniques with new sensing materials and embedded systems for biomedical data acquisition and processing. Lightweight AI algorithms and software for embedded sensor systems will be proposed for intelligent healthcare systems. The potential applications will be sleep monitoring, neonatal monitoring and smart rehabilitation, etc.
Successful candidates must have:
How to Apply:
To apply, please email omid.kavehei@sydney.edu.au AND wei.chenbme@sydney.edu.au with the subject line “PhD Application”, and attach the following:
The opportunity ID for this research opportunity is 3491