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
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))
Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
IEEE Access
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
Sensors
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
Scientific Reports
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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))