Tero
Koivisto
Project Manager, Health Technology
Project manager
I am working in a Health Technology group. Healthcare technology can empower you to improve your health: to analyze your physical condition and alert you of possible diseases.
Links
Areas of expertise
Health technology
cardiac monitoring solutions
sensors
signal processing and algorithms
analog and RF integrated circuits
Biography
I'm a project manager at the University of Turku. I finished M.Sc. studies in 2004 and worked in the area of analog and RF integrated until 2011. Since then I have been working with health technology applications, especially cardiac monitoring solutions.
Teaching
I am a principal lecturer in Medical Instrumentation course. Previously I lectured courses related to RF integrated circuits and oscillators.
Research
My current research focus is on non-invasive cardiac measurement and monitoring methods based mems motion sensors, ECG and PPG. Before 2011 my main research interest was analog and RF integrated circuits, especially ultra low-power RF front-ends.
Publications
Atrial Fibrillation Detection Using MEMS Accelerometer Based Bedsensor (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
BioMedical Engineering OnLine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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))
Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
Journal of the American College of Cardiology
(Muu (O2))
Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018)
European Medical and Biological Engineering Conference
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
IEEE Journal of Biomedical and Health Informatics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
Circulation
(Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1))
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))