Matti Kaisti
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku ORCID identifier: https://orcid.org/0000-0001-8118-2851 |
Areas of expertise
medical instrumentation, biosignal analytics, clinical machine learning
medical instrumentation, biosignal analytics, clinical machine learning
Biography
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.
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."
Publications 
2 of 8
- Detecting Respiratory Tract Infections Using Wearable Devices: Assessing the Impact of Study Parameters in Real-World Applicability (2025)
- Proceedings of IEEE Sensors
(A4 Refereed article in a conference publication ) - Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - 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
(A4 Refereed article in a conference publication ) - Multi-Sensory System for Spatially Aware Colonoscopy (2025)
- IEEE Transactions on Medical Robotics and Bionics
(A1 Refereed original research article in a scientific journal) - The climate impacts of healthcare digitalization: A scoping review (2025)
- Digital health
(A2 Refereed review article in a scientific journal ) - Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection from Wrist and Finger (2025)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Wearable Ring-Based System for Measuring Hemodynamic Parameters (2025) Lindström, Nico; Sirkiä, Jukka-Pekka; Panula, Tuukka; Kaisti, Matti
(A1 Refereed original research article in a scientific journal) - A Modular Framework for the Interpretation of Paper ECGs (2024)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Assessment of ECG Signal Quality Index Algorithms Using Synthetic ECG Data (2024)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Empirical investigation of multi-source cross-validation in clinical ECG classification (2024)
- Computers in Biology and Medicine
(A1 Refereed original research article in a scientific journal)
UTU Research Portal