Matti Kaisti
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku |
medical instrumentation, biosignal analytics, clinical machine learning
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.
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."
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- Detecting Respiratory Tract Infections Using Wearable Devices: Assessing the Impact of Study Parameters in Real-World Applicability (2025)
- Proceedings of IEEE Sensors
- Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification (2025)
- ACM international joint conference on pervasive and ubiquitous computing
- Multi-Sensory System for Spatially Aware Colonoscopy (2025)
- IEEE Transactions on Medical Robotics and Bionics
- The climate impacts of healthcare digitalization: A scoping review (2025)
- Digital health
- Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection from Wrist and Finger (2025)
- IEEE Sensors Journal
- Wearable Ring-Based System for Measuring Hemodynamic Parameters (2025) Lindström, Nico; Sirkiä, Jukka-Pekka; Panula, Tuukka; Kaisti, Matti
- A Modular Framework for the Interpretation of Paper ECGs (2024)
- Computing in Cardiology
- Assessment of ECG Signal Quality Index Algorithms Using Synthetic ECG Data (2024)
- Computing in Cardiology
- Empirical investigation of multi-source cross-validation in clinical ECG classification (2024)
- Computers in Biology and Medicine
UTU Research Portal