Mohammad Feli - UTU Tutkimustietojärjestelmä - UTU Tutkimustietojärjestelmä

Mohammad Feli

- väitöskirjatutkija,
tietotekniikan laitos (teknillinen tiedekunta)
- väitöskirjatutkija,
terveysteknologia (tietotekniikan laitos)

mohammad.feli@utu.fi

Asiantuntijuusalueet

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

Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation (2025)
- Computers in Biology and Medicine
Feli, Mohammad; Kazemi, Kianoosh; Azimi, Iman; Liljeberg, Pasi; Rahmani, Amir M.
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life (2024)
- Scientific Reports
Feli, Mohammad; Azimi, Iman; Sarhaddi, Fatemeh; Sharifi-Heris, Zahra; Niela-Vilen, Hannakaisa; Liljeberg, Pasi; Axelin, Anna; Rahmani, Amir M.
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
- Smart Health
Feli Mohammad, Azimi Iman, Anzanpour Arman, Rahmani Amir M., Liljeberg Pasi
(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)
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Feli Mohammad, Kazemi Kianoosh, Azimi Iman, Wang Yuning, Rahmani Amir M., Liljeberg Pasi
(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
2023 IEEE 19th International Conference on Body Sensor Networks (BSN) Khatibi Elahe, Abbasian Mahyar, Azimi Iman, Labbaf Sina, Feli Mohammad, Borelli Jessica, Dutt Nikil, Rahmani Amir M.
(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
Feli Mohammad, Abdali-Mohammadi Fardin
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A novel recursive backtracking genetic programming-based algorithm for 12-lead ECG compression (2019)
- Signal, Image and Video Processing
Feli Mohammad, Abdali-Mohammadi Fardin
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )