COSBID-M3: A Platform for Multimodal Monitoring, Data Collection, and Research in Neurocritical Care

作者: J. Adam Wilson , Lori A. Shutter , Jed A. Hartings

DOI: 10.1007/978-3-7091-1192-5_15

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摘要: Neuromonitoring in patients with severe brain trauma and stroke is often limited to intracranial pressure (ICP); advanced neuroscience intensive care units may also monitor oxygenation (partial of tissue oxygen, PbtO2), electroencephalogram (EEG), cerebral blood flow (CBF), or neurochemistry. For example, cortical spreading depolarizations (CSDs) recorded by electrocorticography (ECoG) are associated delayed ischemia after subarachnoid hemorrhage an attractive target for novel therapeutic approaches. However, better understand pathophysiologic relations realize the potential multimodal monitoring, a common platform data collection integration needed. We have developed system that integrates clinical, research, imaging into single research development (R&D) platform. Our adapted from widely used BCI2000, brain-computer interface tool which written C++ language supports over 20 acquisition systems. It optimized real-time analysis using time frequency domain analyses extensible combination C++, MATLAB, Python languages. Continuous streams raw processed data, including BP (blood pressure), ICP, PtiO2, CBF, ECoG, EEG, patient video stored open binary format. Selected events identified (e.g., ICP) CSD) measures displayed graphically, can trigger alarms, be sent researchers clinicians via text message. instance, algorithms automated detection CSD been incorporated, ECoG signals projected onto three-dimensional (3D) models based on magnetic resonance (MRI) computed tomographic (CT) scans, allowing correlation pathoanatomy function. This will provide investigate relationships status, as well implement treatment such measures.

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