Personal profile
Biography
Research Interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 13 Climate Action
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SDG 14 Life Below Water
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SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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Classification of Hypoxic Ischemic Encephalopathy (HIE) in neonates using ECG and a transformer-based model
Rezaei, K., Mathieson, S. R., Lightbody, G., Boylan, G. B. & Marnane, W. P., 9 Feb 2026, In: IEEE Access. 14, p. 24298-24311 14 p.Research output: Contribution to journal › Article › peer-review
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Analysis of the impact of deep learning know-how and data in modelling neonatal EEG
Daly, A., Lightbody, G. & Temko, A., Dec 2024, In: Scientific Reports. 14, 1, 28059.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing the Effectiveness of Heart Rate Variability as A Diagnostic Tool for Brain Injuries in Infants
Rezaei, K., Yu, K., Mathieson, S. R., Flynn, A., Lightbody, G., Boylan, G. B. & Marnane, W. P., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
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Detection of Neurovascular Coupling in Full-Term Neonates Using Wavelet Coherence and Phase-Locking Value
Yu, K., Mathieson, S., Flynn, A., Dempsey, E., Garvey, A., Boylan, G., Marnane, W. & Lightbody, G., 2024, 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
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Predicting low cognitive ability at age 5 years using perinatal data and machine learning
Bowe, A. K., Lightbody, G., O’Boyle, D. S., Staines, A. & Murray, D. M., May 2024, In: Pediatric Research. 95, 6, p. 1634-1643 10 p.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Cognitive impairment in preterm infants can be predicted at time of discharge from NICU
27/12/23
1 item of Media coverage
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A Power Emulator Predicts Data Center Dynamic Performance
Egan, M. & Lightbody, G.
24/12/21
1 item of Media coverage
Press/Media