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
Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
BioMedical Engineering OnLine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
IEEE Sensors Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
An Automated Device for Recording Peripheral Arterial Waveform (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
IEEE Access
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
IEEE Sensors Journal
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
Sensors
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
IEEE Journal of Biomedical and Health Informatics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
Circulation
(Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1))