Department of Engineering for Innovation Medicine, University of Verona, Strada le Grazie, Verona 37134, Italy; INFANT Research Centre, University College Cork, Cork, Ireland.
INFANT Research Centre, University College Cork, Cork, Ireland; Cergenx Ltd., Dublin, Ireland.
Clin Perinatol. 2024 Sep;51(3):649-663. doi: 10.1016/j.clp.2024.04.006. Epub 2024 May 28.
Electroencephalography (EEG) is a key objective biomarker of newborn brain function, delivering critical, cotside insights to aid the management of encephalopathy. Access to continuous EEG is limited, forcing reliance on subjective clinical assessments. In hypoxia ischaemia, the primary cause of encephalopathy, alterations in EEG patterns correlate with. injury severity and evolution. As HIE evolves, causing secondary neuronal death, EEG can track injury progression, informing neuroprotective strategies, seizure management and prognosis. Despite its value, challenges with interpretation and lack of on site expertise has limited its broader adoption. Technological advances, particularly in digital EEG and machine learning, are enhancing real-time analysis. This will allow EEG to expand its role in HIE diagnosis, management and outcome prediction.
脑电图（EEG）是新生儿脑功能的关键客观生物标志物，提供关键的、床边的见解，以帮助管理脑病。连续 EEG 的获取受到限制，迫使人们依赖主观的临床评估。在缺氧缺血中，脑病的主要原因，脑电图模式的改变与损伤严重程度和演变相关。随着 HIE 的发展，导致继发性神经元死亡，脑电图可以跟踪损伤进展，为神经保护策略、癫痫管理和预后提供信息。尽管有其价值，但解释方面的挑战和现场专业知识的缺乏限制了其更广泛的应用。技术进步，特别是在数字脑电图和机器学习方面，正在增强实时分析。这将使脑电图在 HIE 的诊断、管理和预后预测中扩大其作用。
