Matti Kaisti
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku ORCID-tunniste: https://orcid.org/0000-0001-8118-2851 |
Asiantuntijuusalueet
medical instrumentation, biosignal analytics, clinical machine learning
medical instrumentation, biosignal analytics, clinical machine learning
Biografia
Tutkimus
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.
Opetus
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."
Julkaisut
- Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features (2022)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
- Circulation
(O2 Muu julkaisu ) - Control Method for Continuous Non-Invasive Arterial Pressure Monitoring using the Non-Pulsatile Component of the PPG Signal (2021)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Miniaturization of a Finger-Worn Blood Pressure Instrument (2021)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Sleep During Menopausal Transition: A 10-year Follow-Up (2021)
- Sleep
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Sleep during menopausal transition: a 10-year follow-up (vol 40, pg , 2021) (2021)
- Sleep
(O2 Muu julkaisu ) - The Effects of External Pressure on Multi-Wavelength Photoplethysmography Signals (2021)
- Computing in Cardiology
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip (2020)
- Biosensors and Bioelectronics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



