CergenX Research

The AI algorithms within the CergenX Wave device are built upon decades of foundational research from the INFANT Research Centre at University College Cork (Ireland) and have been further advanced through CergenX-led research initiatives.

The INFANT Centre has established itself as a global leader in neonatal EEG analysis, contributing to landmark developments such as seizure detection algorithms, validated through international, multi-centre clinical trials (Temko et al. 2011; Pavel et al. 2020; O'Shea et al. 2020). The Centre has also been at the forefront of neonatal EEG neurophysiology, developing grading standards that correlate with long-term neurodevelopmental outcomes (Murray et al., 2016; O'Toole et al., 2023), as well as cutting-edge AI algorithms for EEG background classification (Stevenson et al., 2013; Ahmed et al., 2016; Raurale et al., 2021; O'Sullivan et al., 2023).

The insights from these projects have been pivotal in guiding the design, development, and application of Wave's AI algorithms. CergenX’s own in-house research ensures these algorithms continue to evolve to meet current clinical needs, including advancements in the quantification and automated detection of discontinuous activity in neonatal EEG, thereby enhancing the accuracy and effectiveness of EEG analysis in clinical settings (O'Toole et al.).

Research:

Spatial density of early seizures in neonatal EEG is predictive of total seizure burden: a large-scale retrospective study

Robert Hogan PhD¹, Aurel Luca BSc¹, Sean Griffin BSc¹, John M O’Toole, PhD¹

Spatial density of early seizures in neonatal EEG is predictive of total seizure burden: a large-scale retrospective study

Robert Hogan PhD¹, Aurel Luca BSc¹, Sean Griffin BSc¹, John M O’Toole, PhD¹

Spatial density of early seizures in neonatal EEG is predictive of total seizure burden: a large-scale retrospective study

Robert Hogan PhD¹, Aurel Luca BSc¹, Sean Griffin BSc¹, John M O’Toole, PhD¹

Quantification of discontinuous activity in the EEG of term neonates

John M O'Toole, PhD, Sean R Mathieson, PhD, Robert Hogan, PhD, Geraldine B Boylan, PhD

Quantification of discontinuous activity in the EEG of term neonates

John M O'Toole, PhD, Sean R Mathieson, PhD, Robert Hogan, PhD, Geraldine B Boylan, PhD

Quantification of discontinuous activity in the EEG of term neonates

John M O'Toole, PhD, Sean R Mathieson, PhD, Robert Hogan, PhD, Geraldine B Boylan, PhD

Automated detection of discontinuous activity in neonatal EEG

John M O'Toole, PhD, Robert Hogan, PhD, Sean R Mathieson, PhD, Aurel Luca, BSc, Geraldine B Boylan, PhD, Sean Griffin, BSc

Automated detection of discontinuous activity in neonatal EEG

John M O'Toole, PhD, Robert Hogan, PhD, Sean R Mathieson, PhD, Aurel Luca, BSc, Geraldine B Boylan, PhD, Sean Griffin, BSc

Automated detection of discontinuous activity in neonatal EEG

John M O'Toole, PhD, Robert Hogan, PhD, Sean R Mathieson, PhD, Aurel Luca, BSc, Geraldine B Boylan, PhD, Sean Griffin, BSc