| 2016 | AVI | Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics. | Stephen McIntyre, J. Mikael Eklund, Christopher Collins |
| 2014 | BigData | A Rule-Based Temporal Analysis Method for Online Health Analytics and Its Application for Real-Time Detection of Neonatal Spells. | Anirudh Thommandram, J. Mikael Eklund, Carolyn McGregor, James Edward Pugh, Andrew G. James |
| 2014 | CBMS | Automated Sleep-Wake Detection in Neonates from Cerebral Function Monitor Signals. | J. Mikael Eklund, Nicholas Fontana, James Edward Pugh, Carolyn McGregor, Paul Yielder, Andrew James, Matthew Keyzers, Cecil Hahn, Patrick McNamara |
| 2014 | CBMS | Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification. | Xinqi Louis Wang, J. Mikael Eklund, Carolyn McGregor |
| 2014 | SERVICES | Toward a Big Data Healthcare Analytics System: A Mathematical Modeling Perspective. | Hamzeh Khazaei, Carolyn McGregor, J. Mikael Eklund, Khalil El-Khatib, Anirudh Thommandram |
| 2013 | CBMS | Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care. | Rishikesan Kamaleswaran, Anirudh Thommandram, Qi Zhou, J. Mikael Eklund, Yun Cao, W. P. Wang, Carolyn McGregor |
| 2009 | CBMS | A survey of recent physiological monitoring and transmission to support the service of critical care. | Carolyn McGregor, Kathleen P. Smith, J. Mikael Eklund |
| 2008 | COMPSAC | Real-Time Service-Oriented Architectures to Support Remote Critical Care: Trends and Challenges. | Carolyn McGregor, J. Mikael Eklund |