End-to-end deep learning approach for noninvasive intracranial pressure waveform estimation using fused electrocardiogram and arterial blood pressure signals

Key Points

• Intracranial pressure waveform estimation is achieved using a novel deep learning model, showcasing significant accuracy improvements.
• The method integrates electrocardiogram and arterial blood pressure signals, enhancing the reliability of noninvasive monitoring.
• This analysis employs a deep learning algorithm for waveform estimation, indicating its potential in clinical settings.
• Findings support the idea that deep learning can effectively estimate intracranial pressure noninvasively, further validation in diverse populations is necessary.