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.).
Open source software:
Seizure Prediction Evaluation for EEG-based Detectors (SPEED) framework
Robert Hogan, PhD, John M O'Toole, PhD