Eero
Lehtonen
Senior Researcher, Turku PET Centre
Turku PET Centre
D.Sc.(Tech.)
Links
Areas of expertise
Computer and machine vision
sensor fusion
Biography
Eero Lehtonen received the M.Sc. degree in mathematics and the D.Sc. (Tech.) degree in electronics from the University of Turku, in 2006 and 2013, respectively. He is currently working as a Senior Researcher with the Digital Health Technology Group, Department of Computing, University of Turku, Finland, where his research interests include computer vision and medical imaging. He has also worked in several companies as a machine vision specialist.
Research
Computer vision and sensor fusion for improving biomedical diagnostics and medical imaging.
Publications
Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals (2018)
Frontiers in Neuroscience
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Associative search using pseudo-analog memristors (2017)
IEEE International Symposium on Circuits and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables (2017)
Scientific Reports
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
IEEE Journal of Biomedical and Health Informatics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
Physics in Medicine and Biology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals (2017)
IEEE International Symposium on Circuits and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
MEMS Gating: A new dual gating technique for eliminating motion-related inaccuracies in PET imaging (2016)
Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
A Performance Case-Study on Memristive Computing-in-Memory versus Von Neumann Architecture (2016)
Data Compression Conference
(Muu (O2))
Detecting indications of acute myocardial infarction using smartphone only solution (2016)
Third European Congress on eCardiology & eHealth
(Muu (O2))
An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))