Mikko Pänkäälä
Yliopistonlehtori, TkT, dosentti
mtpank@utu.fi +358 50 574 1290 Joukahaisenkatu 1 Turku ORCID identifier: https://orcid.org/0000-0001-6108-9975 |
Areas of expertise
Biosignals, health technology
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.
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.
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.
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.
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.
Publications 
3 of 5
- 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 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) - 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 ) - Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017)
- Computing in Cardiology
(A4 Refereed article in a conference publication ) - Electromechanical Cardiac Monitoring SoC for Atrial Fibrillation Detection (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Jonas Eriksson, Mika Kutila, Tapani Nevalainen, Phong Nguyen, Kati Sairanen, Marko Ylitolva, Tero Koivisto, Mikko Pänkäälä
(A4 Refereed article in a conference publication ) - Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables (2017)
- Scientific Reports
(A1 Refereed original research article in a scientific journal)
UTU Research Portal