 Biomedical and Mobile Health Technology LabOpen OpportunitiesThe goal of the project is to develop a simple and versatile method for production of robust conductive patterns on textile via deposition of conductive polymers. This technology will allow further development of wearable electronics for biomedical applications. - Chemistry, Medical and Health Sciences, Polymers
- Bachelor Thesis, Semester Project
| The goal of the project is to modify commercially available conductive yarns to improve their operational properties for potential employment in novel garment-embedded sensors for human motion detection. - Engineering and Technology, Medical and Health Sciences, Other Chemistry
- Semester Project
| The project is devoted to development of new generation sensors for human bodily fluid biomarkers. The main aim is development of compact and non-invasive modified electrodes for electrochemical sensing of these important compounds. - Analytical Chemistry, Biosensor Technologies, Electrochemistry, Medical and Health Sciences
- Master Thesis
| It was recently shown that helical auxetic structure allows one to achieve strain sensitive fibres with high sensitivity. Rigidity/stiffness of components of these sensors also plays a role in sensitivity to strain. To further improve our recently published textile strain sensing modality—helical auxetic yarn capacitive sensors—we are seeking a thesis/project student to develop a conductive composite formulation and process to wet-spin fibres of different stiffnesses. Employed as sensors, the effect of stiffness on sensitivity can be tested experimentally. The outcome of this project will further the development of highly sensitive, scalable textile strain sensors. - Biomedical Engineering, Chemistry, Composite Materials, Polymers, Process Control and Simulation
- Master Thesis, Semester Project
| Sweat biomarker levels estimation using a smartphone - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| We want to analyze biomedical signals collected from subjects with induced anxiety using a portable device. We aim to detect instantaneous anxiety and mood changes via portable devices. The data were already collected and ready to be analyzed. The data description is here: https://www.mdpi.com/2306-5729/7/9/132
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| We aim to develop a machine-learning model that assesses heart activity and extract cardiac signal from a smartphone camera.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| We aim to develop a graphical user interface with an integrated machine learning model to analyze forces applied during manual therapy interventions (spinal manipulation). Data is collected with a flexible sensor matrix between the practitioner and the patient.
- Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| The project aims to develop an affordable wearable system that collects electroencephalograms (EEG) and electrocardiograms (ECG) to identify EEG and ECG features associated with short and long sleepers in a real-world environment.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
| We aim to develop a machine learning model for accelerometer and camera data collected from a user’s smartphone that can identify the user’s heart rate.
- Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences, Medical and Health Sciences, Physics
- Bachelor Thesis, Master Thesis
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