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,
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.
- Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)
- Proceedings of the Asia and South Pacific Design Automation Conference
(Refereed article in conference proceedings (A4)) - Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU (2024) ICBRA '23: Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications Kazemi Kianoosh, Azimi Iman, Liljeberg Pasi, Rahmani Amir M.
(Refereed article in conference proceedings (A4)) - A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability (2023)
- ACM Transactions on Computing for Healthcare
(Refereed journal article or data article (A1)) - An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)
- Smart Health
(Refereed journal article or data article (A1)) - Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? (2023)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Refereed article in conference proceedings (A4)) - Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study (2023)
- Sexual & Reproductive Healthcare
(Refereed journal article or data article (A1)) - DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
- IEEE Embedded Systems Letters
(Refereed journal article or data article (A1)) - 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.
(Refereed article in compilation book (A3)) - 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)
(Refereed article in conference proceedings (A4)) - Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study (2023)
- JMIR Formative Research
(Refereed journal article or data article (A1)) - Personalized and adaptive neural networks for pain detection from multi-modal physiological features (2023)
- Expert Systems with Applications
(Refereed journal article or data article (A1)) - 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
(Refereed article in conference proceedings (A4)) - Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality (2023)
- ACM Transactions on Computing for Healthcare
(Refereed journal article or data article (A1)) - 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
(Refereed journal article or data article (A1)) - A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability (2022)
- PLoS ONE
(Refereed journal article or data article (A1)) - AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(Refereed article in conference proceedings (A4)) - Comparison of Oura Smart Ring Against ActiGraph Accelerometer for Measurement of Physical Activity and Sedentary Time in a Free-Living Context (2022)
- Computers, Informatics, Nursing
(Refereed journal article or data article (A1)) - Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)
- IEEE Transactions on Computers
(Refereed journal article or data article (A1)) - Confidence-Enhanced Early Warning Score Based on Fuzzy Logic (2022)
- Mobile Networks and Applications
(Refereed journal article or data article (A1)) - Exploring computation offloading in IoT systems (2022)
- Information Systems
(Refereed journal article or data article (A1))