Biomedical Engineering

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Project Title	Student/s	Overview
Monitoring REM Cycles with Triboelectric Nanogenerators	James Thomas	Technology to monitor sleep without having to go into a sleep lab.
Cortical Vision Prosthesis - FPGA Prototype for Image Data Transmission	David Inguanti	The foundation for image transmission within the “Cortical Vision Prosthesis” project (Monash Vision Group).
Cell Tracking Challenge	Michael Chang	An official entry to the ISBI 2021 Cell Tracking Challenge
Smart Feeding Monitor for Neonatal and Paediatric Care	Oscar Hulbert	An innovative medical device to quantitatively assess feeding of newborns
NeuroStim: A compact neurostimulator	Emma Scully	Neurostim is an affordable and compact neural stimulator capable of producing novel pulse shapes for use in visual cortex stimulation experiments.
Exploring the impacts of adverse phosphene phenomena in synthetic vision	Jake Thomas	A realistic take on the state of synthetic vision.
Wireless positioning system for a balloon catheter	Jake Makaling	Synergising the power of wireless technology with a medical intervention system to rapidly treat haemorrhages
MRI Brain Tumour Segmentation Using Deep Learning	Dilshan Goonatillake	Automatic segmentation of brain tumours with neural networks
SegTHOR: Segmentation of THoracic Organs at Risk in CT images	Vincent Lu	Using Image Segementation Techniques to delinearate target tumors and healthy organs located near the target tumor
Low-Cost IoT Wearable for Stress Detection	Elizabeth Chai	This low-cost IoT wearable enables users to monitor and track their stress levels in real-time, through a WiFi-enabled (ESP-32) microcontroller, heart rate sensor, skin galvanic response sensor and machine learning algorithms. The project encompasses all the Electrical and Computer Systems Engineering degree aspects, including electronic sensors, real-time hardware and software development, design and data analysis (collection, signal processing and machine learning).
Smart Video Monitor for Neonatal and Paediatric Care	Akanksha Sankaran	I am developing a non contact vital sign video monitor to help doctors and clinicians monitor neonatal and paediatric patients in the NICU.
Investigating robust deep learning methods for medical image analysis	Patrick Ng	A beginners attempt at deep learning for medical image analysis.
Developing surgical insertion system for cortical implant	Michael Deimetry	Making a difference through engineering