Mikko
Pänkäälä
Docent, Department of Computing
Yliopistonlehtori, TkT, dosentti
Areas of expertise
Biosignals
health technology
Biography
I'm a University lecturer at the University of Turku. My background is in automotive engineering and I originally came to study electronics to the UTU at 2001. I started my studies related to electronics an communication technology at the IT-Dept. and finished my M.Sc. studies in 2004 and Lich. tech in 2008. After that I worked in a special unit and graduated as a D.Sc in 2014. From the beginning of 2017 I have worked at the Dept. of Future Technologies.
Teaching
Currently I lecture no courses. Previously lectured courses such as Acquisition and Analysis of Biosignals and Embedde IoT Programming. I have also given single lectures related to health technology with other courses.
Research
Currently my focus is on non-invasive cardiac telemonitoring methods based on motion sensors. I have done research on health technology, mainly related to cardiac monitoring since 2011. Previously my research topics were related to the integrated circuits, e.g in my thesis work I investigated a neural network implemented on silicon.
Publications
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))
Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018)
European Medical and Biological Engineering Conference
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
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))
Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
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))
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))
Wearable Pressure Sensor Array for Health Monitoring (2017)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Automatic Identification of Signal Quality for Heart Beat Detection in Cardiac MEMS Signals (2017)
IEEE international conference on biomedical and health informatics
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
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))
Electromechanical Cardiac Monitoring SoC for Atrial Fibrillation Detection (2017)
IEEE International Symposium on Circuits and Systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))