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 
7 of 8
- A Wearable Sensor Node for Detecting Atrial Fibrillation Using Real-Time Digital Signal Processing (2018) 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS) Tuukka Panula, Tero Hurnanen, Jarno Tuominen, Matti Kaisti, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(A4 Refereed article in a conference publication ) - Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018) EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017 Tero Hurnanen,Matti Kaisti,Mojtaba Jafari Tadi,Matti Vähä-Heikkilä,Sami Nieminen,Zuhair Iftikhar,Mikko Paukkunen,Mikko Pänkäälä,Tero Koivisto
(A4 Refereed article in a conference publication ) - Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Polyaniline-functionalized ion-sensitive floating-gate FETs for the on-chip monitoring of peroxidase-catalyzed redox reactions (2018)
- Electrochimica Acta
(A1 Refereed original research article in a scientific journal) - Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Compact Model and Design Considerations of an Ion-Sensitive Floating Gate FET (2017)
- Sensors and Actuators B: Chemical
(A1 Refereed original research article in a scientific journal) - Detection principles of biological and chemical FET sensors (2017)
- Biosensors and Bioelectronics
(A2 Refereed review article in a scientific journal ) - Field-effect based chemical and biological sensing : theory and implementation (2017) Kaisti Matti
(G5 Article dissertation ) - Real-time wash-free detection of unlabeled PNA-DNA hybridization using discrete FET sensor (2017)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Wearable Pressure Sensor Array for Health Monitoring (2017)
- Computing in Cardiology
(A4 Refereed article in a conference publication )
UTU Research Portal