Mohammad Feli
mohammad.feli@utu.fi |
Asiantuntijuusalueet
Digital Health; Data Analytics; Machine Learning; Bio-signal Processing;
Digital Health; Data Analytics; Machine Learning; Bio-signal Processing;
Biografia
Tutkimus
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.
Julkaisut 
1/2
- An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Novel Wearable-Based Fetal Movement Localization System Using Machine Learning (2025)
- Proceedings of IEEE Sensors
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Circadian rhythm of heart rate and heart rate variability in pregnancy (2025)
- npj Women's Health
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation (2025)
- Computers in Biology and Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
- Smart Health
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach (2023)
- Body Sensor Networks Conference
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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 )
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