Tero Koivisto
Project manager
tejuko@utu.fi +358 44 351 3027 Vesilinnantie 5 Turku Office: 450J ORCID identifier: https://orcid.org/0000-0003-3792-8999 |
Health technology;cardiac monitoring solutions;sensors;signal processing and algorithms;analog and RF integrated circuits
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.
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.
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.
I am a principal lecturer in Medical Instrumentation course. Previously I lectured courses related to RF integrated circuits and oscillators.
- Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018) EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017 Tero Hurnanen,Matti Kaisti,Mojtaba Jafari Tadi,Matti Vähä-Heikkilä,Sami Nieminen,Zuhair Iftikhar,Mikko Paukkunen,Mikko Pänkäälä,Tero Koivisto
(A4 Refereed article in a conference publication ) - Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
- Journal of the American College of Cardiology
(Other publication) - Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
- Circulation
(B1 Non-refereed article in a scientific journal) - Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
- Scientific Reports
(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) - A Smartphone-only Solution for Detecting Indications of Acute Myocardial Infarction (2017) Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on Lähdenoja O, Koivisto T, Tadi MJ, Iftikhar Z, Hurnanen T, Vasankari T, Kiviniemi T, Airaksinen J, Pänkäälä M
(A4 Refereed article in a conference publication ) - Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
- IEEE Journal of Biomedical and Health Informatics
(A1 Refereed original research article in a scientific journal) - Automatic Identification of Signal Quality for Heart Beat Detection in Cardiac MEMS Signals (2017) 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Humanen, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(A4 Refereed article in a conference publication )



