Research focus and goals
Our primary research interests include:
- Wearable physiological monitoring systems
- Signal processing methods for vitals estimation
- Assessment of vascular condition
- Ion mobility spectrometry for the analysis and classification of cancer tissue, especially brain cancer
- Machine-learning and deep learning methods, e.g. data augmentation with generative adversarial networks
Our goal is to do high quality research in the aforementioned areas and help Finnish industry by providing our expertise for solving their development needs.
The group maintains Health and Assistive Technology research laboratory that is used in conducting physiological measurements in controlled settings: HeAT lab
Examples of research
Differential mobility spectrometry (DMS) analyzer with laser evaporation system used in cancer detection and analysis studies (left). Middle and right side panels show DMS dispersion plots for two different tissue samples:
Wearable system with stretchable electrode for ambulatory patient monitoring:
