Mikko Pänkäälä
Yliopistonlehtori, TkT, dosentti
mtpank@utu.fi +358 50 574 1290 Joukahaisenkatu 1 Turku |
Biosignals, health technology
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.
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 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.
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- Hemodynamic Bedside Monitoring Instrument with Pressure and Optical Sensors : Validation and Modality Comparison (2024)
- Advanced Science
- Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors (2024)
- JACC: Heart Failure
- Development and clinical validation of a miniaturized finger probe for bedside hemodynamic monitoring (2023)
- iScience
- 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
- End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Physiological Measurement
- CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
- Circulation
- An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip (2020)
- Biosensors and Bioelectronics
- Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
- A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
- Sensors
- An Automated Device for Recording Peripheral Arterial Waveform (2019)
- Computing in Cardiology
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