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
Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors (2024)
JACC: Heart Failure
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Hemodynamic Bedside Monitoring Instrument with Pressure and Optical Sensors : Validation and Modality Comparison (2024)
Advanced Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Method for measuring jugular venous pulse with a miniature gyroscope sensor patch (2023)
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Development and clinical validation of a miniaturized finger probe for bedside hemodynamic monitoring (2023)
iScience
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
Physiological Measurement
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
AHA conference, Circulation
(O2 Muu julkaisu )
An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip (2020)
Biosensors and Bioelectronics
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
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 Using MEMS Accelerometer Based Bedsensor (2019)
Computing in Cardiology, Computing in Cardiology
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))