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
Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI‐Based Loop Detection (2026)
Advanced Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
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)
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 )