Mohammad Feli
mohammad.feli@utu.fi |
Digital Health; Data Analytics; Machine Learning; Bio-signal Processing;
My research focuses on investigating biomedical signals and health data using data analysis, machine learning, and biosignal processing methods for Internet-of-Things-based healthcare applications.
- Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation (2025)
- Computers in Biology and Medicine
- Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
- Scientific Reports
- An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
- Smart Health
- End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)
- Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)
- Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach (2023)
- Body Sensor Networks Conference
- Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring (2023) SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing Wang Yuning, Azimi Iman, Feli Mohammad, Rahmani Amir M., Liljeberg Pasi
- 12 lead Electrocardiography signals compression by a new genetic programming based mathematical modeling algorithm (2019)
- Biomedical Signal Processing and Control
- A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression (2019)
- Signal, Image and Video Processing
UTU Research Portal