Pasi Liljeberg
Professor, Head of Department
pasi.liljeberg@utu.fi +358 29 450 2469 +358 40 543 3722 Vesilinnantie 5 Turku Office: 1st floor ORCID identifier: https://orcid.org/0000-0002-9392-3589 |
Biomedical engineering, Internet of Things, edge computing, Wearable sensors, Digital health technology, Health data analytics, Approximate and adaptive computing,
Research interest fall to the areas of biomedical engineering, health technology and edge computing. Please see also: https://healthtech.utu.fi
Pasi Liljeberg received MSc and PhD degrees in information and communication technology from the University of Turku, Turku, Finland, in 1999 and 2005, respectively. He received Adjunct professorship in embedded computing architectures in 2010. Currently he is working as a full professor in University of Turku in the Digital Health Technology unit. At the same time he serves as head of the Department of Computing, Faculty of Technology, University of Turku. His research interests are biomedical engineering, Internet of Things, edge computing, approximate and adaptive computing, wearable sensors, digital health technology and health data analytics. Liljeberg is the (co-)author of around 300 peer-reviewed publications.
My research interest fall in the field of biomedical engineering, health technology and Internet-of-Things. This is in the context wearable biomedical, wearable technology, applied machine learning, bio-signal processing, health informatics and edge computing. Special attention is paid to novel biomedical sensing applications, wearable computing, analytics, informatics, communication, and networking paradigms, especial focus onhealthcare and wellbeing applications.
Teaching interest in the field of Health Technology in general.
- Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study (2023)
- Sexual & Reproductive Healthcare
(A1 Refereed original research article in a scientific journal) - DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
- IEEE Embedded Systems Letters
(A1 Refereed original research article in a scientific journal) - Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023) Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.
(A3 Refereed book chapter or chapter in a compilation book) - 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 Refereed article in a conference publication ) - Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study (2023)
- JMIR Formative Research
(A1 Refereed original research article in a scientific journal) - Personalized and adaptive neural networks for pain detection from multi-modal physiological features (2023)
- Expert Systems with Applications
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality (2023)
- ACM Transactions on Computing for Healthcare
(A1 Refereed original research article in a scientific journal) - Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis (2022)
- Journal of Medical Internet Research
(A1 Refereed original research article in a scientific journal) - A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability (2022)
- PLoS ONE
(A1 Refereed original research article in a scientific journal) - AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Comparison of Oura Smart Ring Against ActiGraph Accelerometer for Measurement of Physical Activity and Sedentary Time in a Free-Living Context (2022)
- CIN: Computers Informatics Nursing
(A1 Refereed original research article in a scientific journal) - Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - Confidence-Enhanced Early Warning Score Based on Fuzzy Logic (2022)
- Mobile Networks and Applications
(A1 Refereed original research article in a scientific journal) - Exploring computation offloading in IoT systems (2022)
- Information Systems
(A1 Refereed original research article in a scientific journal) - Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability (2022)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network (2022)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - Robust PPG Peak Detection Using Dilated Convolutional Neural Networks (2022)
- Sensors
(A1 Refereed original research article in a scientific journal) - Trends in Heart Rate and Heart Rate Variability During Pregnancy and the 3-Month Postpartum Period: Continuous Monitoring in a Free-living Context (2022)
- JMIR mHealth and uHealth
(A1 Refereed original research article in a scientific journal) - Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices (2021) 2021 IEEE Nordic Circuits and Systems Conference (NorCAS) Taufique Zain, Kanduri Anil, Bin Altaf Muhammad Awais, Liljeberg Pasi
(A4 Refereed article in a conference publication )