Eero Lehtonen
D.Sc.(Tech.)
eero.lennart.lehtonen@utu.fi +358 50 577 9597 Joukahaisenkatu 1 Turku ORCID identifier: https://orcid.org/0000-0002-7327-7938 |
Areas of expertise
Computer and machine vision; sensor fusion
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 
2 of 5
- (2019)
- IEEE Sensors Journal
(A1 Refereed original research article in a scientific journal) - Memristive stateful logic (2019) Handbook of Memristor Networks Eero Lehtonen, Jussi H. Poikonen, Mika Laiho
(A3 Refereed book chapter or chapter in a compilation book) - Complexity Analysis of Iterative Basis Transformations Applied to Event-Based Signals (2018)
- Frontiers in Neuroscience
(A1 Refereed original research article in a scientific journal) - A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Jarno Tuominen, Eero Lehtonen, Mojtaba Jafari Tadi, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(A4 Refereed article in a conference publication ) - A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
- Physics in Medicine and Biology
(A1 Refereed original research article in a scientific journal) - Associative search using pseudo-analog memristors (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Laiho Mika, Grönroos Mika, Poikonen Jussi, Lehtonen Eero, Katsumura Reon, T.-Fukuchi Atsushi, Arita Masashi, Takahashi Yasuo
(A4 Refereed article in a conference publication ) - Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of SeismocardiogramsGyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables (2017)
- IEEE Journal of Biomedical and Health InformaticsScientific Reports
(A1 Refereed original research article in a scientific journal) - (2017)
(A1 Refereed original research article in a scientific journal) - An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - (2016) 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Mojtaba Jafari Tadi, Eero Lehtonen, Olli Lahdejoja, Mikko Pänkäälä, Tero Koivisto
(A4 Refereed article in a conference publication )
UTU Research Portal