Mohammad
Feli
Doctoral Researcher, Department of Computing
Doctoral Researcher, Health Technology
Contact
Links
Areas of expertise
Digital Health
Data Analytics
Machine Learning
Bio-signal Processing
Research
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.
Publications
Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach (2023)
International Conference on Body Sensor Networks (BSN), Body Sensor Networks Conference
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
Smart Health
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)
IEEE International Conference on Bioinformatics and Biomedicine, Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring (2023)
Symposium on Applied Computing
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
12 lead Electrocardiography signals compression by a new genetic programming based mathematical modeling algorithm (2019)
Biomedical Signal Processing and Control
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression (2019)
Signal, Image and Video Processing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))