Matti Kaisti
Assistant Professor
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku |
sensors, wearables, machine learning, physiology
medical instrumentation, physiological monitoring, biosignal analytics, clinical machine learning
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.
I am currently responsible for teaching Programming and Analytics of Health Wearables, an advanced level engineering course.
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- Wearable edge machine learning with synthetic photoplethysmograms (2024)
- Expert Systems with Applications
- Advances in non-invasive blood pressure measurement techniques (2023)
- IEEE Reviews in Biomedical Engineering
- Continuous Blood Pressure Monitoring Using Nonpulsatile Photoplethysmographic Components for Low-Frequency Vascular Unloading (2023)
- IEEE Transactions on Instrumentation and Measurement
- Development and clinical validation of a miniaturized finger probe for bedside hemodynamic monitoring (2023)
- iScience
- Domain randomization using synthetic electrocardiograms for training neural networks (2023)
- Artificial Intelligence in Medicine
- Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data (2023)
- Body Sensor Networks Conference
- 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
- Tonometric Multi-Wavelength Photoplethysmography for Studying the Cutaneous Microvasculature of the Fingertip (2023)
- IEEE Transactions on Instrumentation and Measurement
- Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups (2022)
- Computing in Cardiology
- Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
- Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features (2022)
- Computing in Cardiology
- CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
- Circulation
- Control Method for Continuous Non-Invasive Arterial Pressure Monitoring using the Non-Pulsatile Component of the PPG Signal (2021)
- Computing in Cardiology
- Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
- Miniaturization of a Finger-Worn Blood Pressure Instrument (2021)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Sleep During Menopausal Transition: A 10-year Follow-Up (2021)
- Sleep
- Sleep during menopausal transition: a 10-year follow-up (vol 40, pg , 2021) (2021)
- Sleep
- The Effects of External Pressure on Multi-Wavelength Photoplethysmography Signals (2021)
- Computing in Cardiology
- An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip (2020)
- Biosensors and Bioelectronics
- Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
UTU Research Portal