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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- 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
- Feasibility of continuous microvascular tissue oxygenation monitoring using discrete optical semiconductor devices (2026)
- Biosensors and Bioelectronics
- Optical Techniques to Assess Cutaneous Microvascular Function in Cardiovascular Disease (2026)
- IEEE Reviews in Biomedical Engineering
- Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)
- Biomedical Signal Processing and Control
- Severe aortic stenosis detection using seismocardiography (2026)
- Open Heart
- A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from Electrocardiograms (2025)
- Computing in Cardiology
- Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study (2025)
- Physiological Measurement
- Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
- IEEE Journal of Biomedical and Health Informatics
- Cross-Dataset Validation of a Sensor Agnostic Seismocardiography Peak Detection Method (2025) 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Elnaggar, Ismail; Seifizarei, Sepehr; Sandelin, Jonas; Lahdenoja, Olli; Airola, Antti; Kaisti, Matti; Koivisto, Tero
- 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)
- IEEE Sensors Letters
- 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
- Evaluating Piezoelectric Ballistocardiography for Post-Surgical Heart Rate Monitoring (2024)
- Computing in Cardiology
UTU Research Portal