Matti Kaisti - UTU Research Portal

Matti Kaisti

- Associate Professor,
Health Technology (Department of Computing)

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
Zhao, Yangyang; Lahdenoja, Olli; Sandelin, Jonas; Seifizarei, Sepehr; Anzanpour, Arman; Lehto, Joonas; Nuotio, Joel; Jaakkola, Jussi; Relander, Arto; Vasankari, Tuija; Airaksinen, Juhani; Kiviniemi, Tuomas; Kaisti, Matti; Koivisto, Tero
Feasibility of continuous microvascular tissue oxygenation monitoring using discrete optical semiconductor devices (2026)
- Biosensors and Bioelectronics
Panula, Tuukka; Mustajoki, Inka; Jaakola, Tomi; Niemi, Tarja; Kaisti, Matti
Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI‐Based Loop Detection (2026)
- Advanced Science
Panula, Tuukka; Halkilahti, Anni; Ivanov, Andrei; Kaisti, Matti
Optical Techniques to Assess Cutaneous Microvascular Function in Cardiovascular Disease (2026)
- IEEE Reviews in Biomedical Engineering
Mustajoki, Inka; Riancho, Julien; Panula, Tuukka; Sirkiä, Jukka-Pekka; Olazabal, Jorge Herranz; Badhwar, Smriti; Kjellman, Maria; Karhinoja, Katri; Maia, Maria; Riahi, Sam; Papadopoulos, Yannis; Hermeling, Evelien; Bruno, Rosa-Maria; Kaisti, Matti
Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)
- Biomedical Signal Processing and Control
Orabe, Zoher; Vasankari, Antti; Pahikkala, Tapio; Kaisti, Matti; Airola, Antti
Severe aortic stenosis detection using seismocardiography (2026)
- Open Heart
Pykäri, Jouni; Elnaggar, Ismail; Kaisti, Matti; Airola, Antti; Koivisto, Tero; Vasankari, Tuija; Savontaus, Mikko
A Cascading Multi-Stage Deep Learning Approach for Detecting Chagas Disease from Electrocardiograms (2025)
- Computing in Cardiology
Computing in Cardiology 2025 Sandelin, Jonas; Orabe, Zoher; Elnaggar, Ismail; Karhinoja, Katri; Zhao, Yangyang; Patiño, Chito; Kaisti, Matti; Airola, Antti
Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study (2025)
- Physiological Measurement
Sandelin, Jonas; Lahdenoja, Olli; Elnaggar, Ismail; Rekola, Rami; Anzanpour, Arman; Seifizarei, Sepehr; Kaisti, Matti; Koivisto, Tero; Lehto, Joel; Nuotio, Joonas; Jaakkola, Jussi; Relander, Arto; Vasankari, Tuija; Airaksinen, Juhani; Kiviniemi, Tuomas
Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
- IEEE Journal of Biomedical and Health Informatics
Seifizarei, Sepehr; Elnaggar, Ismail; Anzanpour, Arman; Sandelin, Jonas; Lahdenoja, Olli; Glassee, Miguel; Castro, Ivan D.; Torfs, Tom; van de Poll, Marcel C. G.; Airola, Antti; Kaisti, Matti; Koivisto, Tero
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