Matti
Kaisti
Assistant Professor, Health Technology
Assistant Professor
medical instrumentation, physiological monitoring, biosignal analytics, clinical machine learning
Links
Areas of expertise
sensors
wearables
machine learning
physiology
Teaching
I am currently responsible for teaching Programming and Analytics of Health Wearables, an advanced level engineering course.
Research
I develop new monitoring solutions for disease prevention and management using new sensory solutions and computational techniques. The research aims for clinically validated solutions and combines technologies at the different maturity levels.
Publications
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 )
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)
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 )