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
- Generating Synthetic Mechanocardiograms for Machine Learning Based Peak Detection (2024)
- IEEE Sensors Letters
(A1 Refereed original research article in a scientific journal) - Hemodynamic Bedside Monitoring Instrument with Pressure and Optical Sensors : Validation and Modality Comparison (2024)
- Advanced Science
(A1 Refereed original research article in a scientific journal) - Investigating the impact of contact pressure on photoplethysmograms (2024)
- Biomedical Engineering Advances
(A1 Refereed original research article in a scientific journal) - Low-Cost Tissue Oximetry Using Discrete Light-Emitting Diodes (2024)
- IEEE International Instrumentation and Measurement Technology Conference
(A4 Refereed article in a conference publication ) - Non-Invasive Hemodynamic Monitoring System Integrating Spectrometry, Photoplethysmography, and Arterial Pressure Measurement Capabilities (2024)
- Advanced Science
(A1 Refereed original research article in a scientific journal) - Parallel, Continuous Monitoring and Quantification of Programmed Cell Death in Plant Tissue (2024)
- Advanced Science
(A1 Refereed original research article in a scientific journal) - Personalization of Affective Models Using Classical Machine Learning : A Feasibility Study (2024)
- Applied Sciences
(A1 Refereed original research article in a scientific journal) - Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors (2024)
- JACC: Heart Failure
(A1 Refereed original research article in a scientific journal) - Toward Automatic Cardiovascular and Respiratory Assessment Using Automatic 6-Minute Walking Test (2024)
- Proceedings of IEEE Sensors
(A4 Refereed article in a conference publication ) - Wearable edge machine learning with synthetic photoplethysmograms (2024)
- Expert Systems with Applications
(A1 Refereed original research article in a scientific journal) - Advances in non-invasive blood pressure measurement techniques (2023)
- IEEE Reviews in Biomedical Engineering
(A2 Refereed review article in a scientific journal ) - Continuous Blood Pressure Monitoring Using Nonpulsatile Photoplethysmographic Components for Low-Frequency Vascular Unloading (2023)
- IEEE Transactions on Instrumentation and Measurement
(A1 Refereed original research article in a scientific journal) - Development and clinical validation of a miniaturized finger probe for bedside hemodynamic monitoring (2023)
- iScience
(A1 Refereed original research article in a scientific journal) - Domain randomization using synthetic electrocardiograms for training neural networks (2023)
- Artificial Intelligence in Medicine
(A1 Refereed original research article in a scientific journal) - Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data (2023)
- Body Sensor Networks Conference
(A4 Refereed article in a conference publication ) - Method for measuring jugular venous pulse with a miniature gyroscope sensor patch (2023)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - Tonometric Multi-Wavelength Photoplethysmography for Studying the Cutaneous Microvasculature of the Fingertip (2023)
- IEEE Transactions on Instrumentation and Measurement
(A1 Refereed original research article in a scientific journal) - Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features (2022)
- Computing in Cardiology
(A4 Refereed article in a conference publication )



