Mikko Pänkäälä
Yliopistonlehtori, TkT, dosentti

University Lecturer, Health Technology (Department of Future Technologies)
Adjunct Professor, Department of Future Technologies (Department of Future Technologies)

mtpank@utu.fi
+358 50 574 1290

Joukahaisenkatu 1
Turku
Office: 450I





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. 

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.

Teaching
Currently I lecture two courses Acquisition and Analysis of Biosignals and Embedde IoT Programming. I have also given single lectures related to health technology with other courses.

Publications
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Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
BioMedical Engineering OnLine
Olli Lahdenoja, Tero Hurnanen, Matti Kaisti, Juho Koskinen, Jarno Tuominen, Matti Vähä-Heikkilä, Laura Parikka, Maria Wiberg, Tero Koivisto, Mikko Pänkäälä
(
A1 Journal article – refereed)

Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation (2019) Matti Kaisti, Tuukka Panula, Joni Leppänen, Risto Punkkinen, Mojtaba Jafari Tadi, Tuija Vasankari, Samuli Jaakkola, Tuomas Kiviniemi, Juhani Airaksinen, Pekka Kostiainen, Ulf Meriheinä, Tero Koivisto, Mikko Pänkäälä
(
A1 Journal article – refereed)

Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
IEEE Sensors Journal
Mojtaba Jafari Tadi, Saeed Mehrang, Matti Kaisti, Olli Lahdenoja, Tero Hurnanen, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Timo Knuutila, Eero Lehtonen, Tero Koivisto, Mikko Pänkäälä
(
A1 Journal article – refereed)

Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
IEEE Sensors Journal
Matti Kaisti, Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Hurnanen, Antti Saraste, Mikko Pänkäälä, Tero Koivisto
(
A1 Journal article – refereed)

Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
IEEE Journal of Biomedical and Health Informatics
Olli Lahdenoja, Tero Hurnanen, Zuhair Iftikhar, Sami Nieminen, Timo Knuutila, Antti Saraste, Tuomas Kiviniemi, Tuija Vasankari, Juhani Airaksinen, Mikko Pänkäälä, Tero Koivisto
(
A1 Journal article – refereed)

A Wearable Sensor Node for Detecting Atrial Fibrillation Using Real-Time Digital Signal Processing (2018) 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS) Tuukka Panula, Tero Hurnanen, Jarno Tuominen, Matti Kaisti, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(
A4 Article in conference proceedings)

Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018) EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017 Tero Hurnanen,Matti Kaisti,Mojtaba Jafari Tadi,Matti Vähä-Heikkilä,Sami Nieminen,Zuhair Iftikhar,Mikko Paukkunen,Mikko Pänkäälä,Tero Koivisto
(
A4 Article in conference proceedings)

Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018) CinC 2018: Proceedings Saeed Mehrang, Mojtaba Jafari Tadi, Matti Kaisti, Olli Lahdenoja, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(
A4 Article in conference proceedings)

Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
Circulation
Jussi Jaakkola, Samuli Jaakkola, Olli Lahdenoja, Tero Hurnanen, Tero Koivisto, Mikko Pänkäälä, Timo Knuutila, Tuomas O. Kiviniemi, Tuija Vasankari, K.E. Juhani Airaksinen
(
B1 Journal article)

Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
Scientific Reports
Zuhair Iftikhar, Olli Lahdenoja, Mojtaba Jafari Tadi, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(
A1 Journal article – refereed)

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 Article in conference proceedings)

A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
Physics in Medicine and Biology
Tadi MJ, Teuho J, Lehtonen E, Saraste A, Pankaala M, Koivisto T, Teras M
(
A1 Journal article – refereed)

Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
IEEE Journal of Biomedical and Health Informatics
Tero Hurnanen, Eero Lehtonen, Mojtaba Jafari Tadi, Tom Kuusela, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(
A1 Journal article – refereed)

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 Article in conference proceedings)

Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals (2017) Computing in Cardiology Olli Lahdenoja, Mojtaba Jafari Tadi, Matti Kaisti, Timo Knuutila, Mikko Pänkäälä, Tero Koivisto
(
A4 Article in conference proceedings)

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 Article in conference proceedings)

Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables (2017)
Scientific Reports
Tadi MJ, Lehtonen E, Saraste A, Tuominen J, Koskinen J, Teras M, Airaksinen J, Pankaala M, Koivisto T
(
A1 Journal article – refereed)

Wearable Pressure Sensor Array for Health Monitoring (2017) Computing in Cardiology Matti Kaisti, Joni Leppänen, Olli Lahdenoja, Mikko Pänkäälä, Tero Koivisto, Ulf Meriheinä
(
A4 Article in conference proceedings)

A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications (2016) Mojtaba Jafari Tadi, Eero Lehtonen, Jarmp Teuho, Antti Saraste, Mikko Pänkäälä, Mika Teräs, Tero Koivisto
(
A4 Article in conference proceedings)

An Adaptive Approach for Heartbeat Detection Based on S-transform in Seismocardiograms (2016) 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Mojtaba Jafari Tadi, Eero Lehtonen, Olli Lahdejoja, Mikko Pänkäälä, Tero Koivisto
(
A4 Article in conference proceedings)


Last updated on 2019-19-07 at 02:21