Matti Kaisti
mkaist@utu.fi +358 44 533 4238 Vesilinnantie 5 Turku |
medical instrumentation, biosignal analytics, clinical machine learning
I work in biomedical engineering to develop disease monitoring systems. By applying signal processing and AI to novel sensory data, I aim to create clinically validated solutions that integrate technologies across various maturity levels.
I currently teach Analytics of Health Wearables, an advanced engineering course focused on programming and algorithms, and Introduction to Health Technology, an entry-level course."
- CardioSignal Smartphone Application Detects Atrial Fibrillation in Heart Failure Population (2021)
- Circulation
- Control Method for Continuous Non-Invasive Arterial Pressure Monitoring using the Non-Pulsatile Component of the PPG Signal (2021)
- Computing in Cardiology
- Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
- Miniaturization of a Finger-Worn Blood Pressure Instrument (2021)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Sleep During Menopausal Transition: A 10-year Follow-Up (2021)
- Sleep
- Sleep during menopausal transition: a 10-year follow-up (vol 40, pg , 2021) (2021)
- Sleep
- The Effects of External Pressure on Multi-Wavelength Photoplethysmography Signals (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
- Disposable silicon-based all-in-one micro-qPCR for rapid on-site detection of pathogens (2020)
- Nature Communications
- Multi-Wavelength Photoplethysmography Device for the Measurement of Pulse Transit Time in the Skin Microvasculature (2020)
- Computing in Cardiology
- Stretchable Composite Acoustic Transducer for Wearable Monitoring of Vital Signs (2020)
- Advanced Functional Materials
- 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
- Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
- IEEE Sensors Journal
- 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



