Jonas Sandelin
MSc
jojusan@utu.fi |
Health Technology; Data Analytics; Signal Processing; Machine Learning
Digital Health Technology Group
I received my M.Sc. degree in health technology from University of Turku in 2022. In 2021 I started working at University of Turku as an intern and currently working as Project researcher.
My research includes working on non-invasive heart disease monitoring and detecting systems. With signal processing, data analytics and machine learning, the aim is to find and develop new systems to detect cardiac diseases.
- Assessing the impact of signal quality on heart rate detection from long-term clinical wrist PPG under varying cardiac rhythms (2026)
- Biomedical Signal Processing and Control
- Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study (2025)
- Physiological Measurement
- Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
- IEEE Journal of Biomedical and Health Informatics
- Cross-Dataset Validation of a Sensor Agnostic Seismocardiography Peak Detection Method (2025) 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Elnaggar, Ismail; Seifizarei, Sepehr; Sandelin, Jonas; Lahdenoja, Olli; Airola, Antti; Kaisti, Matti; Koivisto, Tero
- Generating Synthetic Mechanocardiograms for Machine Learning Based Peak Detection (2024)
- IEEE Sensors Letters
- Detecting Atrial Fibrillation With a Wearable Device (2022)
- Computing in Cardiology
- Identification of Myocardial Infarction by High Frequency Serial ECG Measurement (2022)
- Computing in Cardiology
- Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
UTU Research Portal