Biomedical and Mobile Health Technology LabOpen OpportunitiesThe aim of this project is to develop an unobtrusive wearable for the measurement of the frontal plane knee angle. Measurements made by such a device can be used for the assessment of anterior cruciate ligament (ACL) injuries, for rehabilitation, or to prevent injuries in sports. - Engineering and Technology, Information, Computing and Communication Sciences
- Collaboration, Master Thesis, Semester Project
| This project aims to develop light and unobtrusive wearable technologies using thread-like sensors to monitor back movements. The information provided by the developed technologies will be used to address a major health issue, i.e., low back pain, through its prevention or rehabilitation. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Collaboration, Master Thesis, Semester Project
| We aim to develop an efficient algorithm able to run in real-time within a mobile phone, to collect high-quality electrocardiogram (ECG) and photoplethysmogram (PPG) signals.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Explore how machine learning algorithms are impacted by the several choices of general-purpose computing capable (not only graphics) of our GPU station to produce a high computation environment with minimal cost. More importantly, our system will be recommended to facilitate computational tasks of research projects for faculty members and students. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| We aim to develop a machine learning model for accelerometer data collected from a user’s smartphone that can identify the user’s behavior and circadian rhythm.
- Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| We aim to predict accurately paroxysmal atrial fibrillation within 7 days of its occurrence.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| We aim to develop a smartphone app to differentiate between hypotensive, normotensive, and hypertensive subjects.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| We aim to develop an efficient app and algorithm to run in real-time on a kiosk prototype, collect vital signs and provide a COVID score accordingly.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| We want to incorporate our thread-like sensors into common textiles to develop smart garments for the detection of human movements. Our aim is to develop wearable technologies that are light and unobtrusive and provide data that can be used to inform on, guide, track, or improve human movement. - Engineering and Technology, Information, Computing and Communication Sciences
- Collaboration, Master Thesis, Semester Project
| The aim of this project is to develop an unobtrusive wearable for the measurement of respiration rate. Measurements made by such a device can be used to track and guide users’ exercise routine. - Engineering and Technology, Information, Computing and Communication Sciences
- Collaboration, Master Thesis, Semester Project
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