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
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)
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 )
Wearable Ring-Based System for Measuring Hemodynamic Parameters (2025)
IEEE Sensors Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
IEEE Journal of Biomedical and Health Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Detecting Respiratory Tract Infections Using Wearable Devices: Assessing the Impact of Study Parameters in Real-World Applicability (2025)
Proceedings of IEEE Sensors
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Cross-Dataset Validation of a Sensor Agnostic Seismocardiography Peak Detection Method (2025)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study (2025)
Physiological Measurement
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )