Matti
Kaisti
Associate Professor, Health Technology
Links
Areas of expertise
medical instrumentation
biosignal analytics
clinical machine learning
Teaching
I currently teach Analytics of Health Wearables, an advanced engineering course focused on programming and algorithms, and Introduction to Health Technology, an entry-level course."
Research
I work in biomedical engineering to develop disease monitoring systems. By applying signal processing and AI to novel sensory data, I aim to create clinically validated solutions that integrate technologies across various maturity levels.
Publications
Assessing the impact of signal quality on heart rate detection from long-term clinical wrist PPG under varying cardiac rhythms (2026)
Biomedical Signal Processing and Control
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Severe aortic stenosis detection using seismocardiography (2026)
Open Heart
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Feasibility of continuous microvascular tissue oxygenation monitoring using discrete optical semiconductor devices (2026)
Biosensors and Bioelectronics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)
Biomedical Signal Processing and Control
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Optical Techniques to Assess Cutaneous Microvascular Function in Cardiovascular Disease (2026)
IEEE Reviews in Biomedical Engineering
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)
Multi-Sensory System for Spatially Aware Colonoscopy (2025)
IEEE Transactions on Medical Robotics and Bionics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from Electrocardiograms (2025)
Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection from Wrist and Finger (2025)
IEEE Sensors Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment (2025)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Wearable Ring-Based System for Measuring Hemodynamic Parameters (2025)
IEEE Sensors Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )