Tero Koivisto
Project manager
tejuko@utu.fi +358 44 351 3027 Vesilinnantie 5 Turku : 450J |
Health technology;cardiac monitoring solutions;sensors;signal processing and algorithms;analog and RF integrated circuits
I am working in a Health Technology group. Healthcare technology can empower you to improve your health: to analyze your physical condition and alert you of possible diseases.
I'm a project manager at the University of Turku. I finished M.Sc. studies in 2004 and worked in the area of analog and RF integrated until 2011. Since then I have been working with health technology applications, especially cardiac monitoring solutions.
My current research focus is on non-invasive cardiac measurement and monitoring methods based mems motion sensors, ECG and PPG. Before 2011 my main research interest was analog and RF integrated circuits, especially ultra low-power RF front-ends.
I am a principal lecturer in Medical Instrumentation course. Previously I lectured courses related to RF integrated circuits and oscillators.
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- Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study (2022)
- Sensors
- Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
- Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
- 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
- Atrial Fibrillation Detection Using MEMS Accelerometer Based Bedsensor (2019)
- Computing in Cardiology
- Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study (2019)
- BioMedical Engineering OnLine
- 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)
- npj Digital Medicine
- Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
- Head Pulsation Signal Analysis for 3-Axis Head-Worn Accelerometers (2019)
- Computing in Cardiology
- Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
- Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
- IEEE Sensors Journal
- Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone (2018)
- IEEE Journal of Biomedical and Health Informatics
- 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
- 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
- Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
- MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY (2018)
- Journal of the American College of Cardiology
- Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation) (2018)
- Circulation
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