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
Sleep During Menopausal Transition: A 10-year Follow-Up (2021)
Sleep
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
AHA conference, Circulation
(O2 Muu julkaisu )
The Effects of External Pressure on Multi-Wavelength Photoplethysmography Signals (2021)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Stretchable Composite Acoustic Transducer for Wearable Monitoring of Vital Signs (2020)
Advanced Functional Materials
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Multi-Wavelength Photoplethysmography Device for the Measurement of Pulse Transit Time in the Skin Microvasculature (2020)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip (2020)
Biosensors and Bioelectronics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Disposable silicon-based all-in-one micro-qPCR for rapid on-site detection of pathogens (2020)
Nature Communications
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
IEEE Sensors Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation (2019)
npj Digital Medicine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))