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
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))
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))
Atrial Fibrillation Detection Using MEMS Accelerometer Based Bedsensor (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
IEEE Sensors Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
BioMedical Engineering OnLine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
An Automated Device for Recording Peripheral Arterial Waveform (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
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))
A Wearable Sensor Node for Detecting Atrial Fibrillation Using Real-Time Digital Signal Processing (2018)
IEEE International Conference on Electronics, Circuits and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))