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Intracranial multimodal physiological monitoring in acute brain injury

急性脑损伤的颅内多模态生理监测

基本信息

批准号：
10675428
负责人：
STEVEN J SCHIFF
金额：
$ 165.81万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-15 至 2025-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10675428
关键词：
Acute Brain Injuries Age Algorithms Biological Biomedical Engineering Blood Blood Pressure Brain Brain Hypoxia Brain Injuries Caring Cephalic Cerebrum Clinical Complex Coupled Critical Illness Custom Data Data Analyses Data Display Development Devices Diagnostic Equipment Diameter Electrodes Electroencephalography Electronics Engineering Evaluation Failure Functional disorder Goals Heart Rate Hemorrhage Homeostasis Human Incidence Individual Infection Injury Intensive Care Units Intracranial Pressure Marketing Mathematics Measurement Measures Metabolic Metabolism Military Personnel Modality Monitor Nervous System Trauma Neurologic Output Oxygen Patient Care Patient risk Patient-Focused Outcomes Patients Persons Phase Physicians Physiologic Monitoring Physiological Physiology Pilot Projects Provider Public Health Pulse Oximetry Risk Safety Scalp structure Seizures Signal Transduction Source Stream Survivors System Systemic blood pressure TBI Patients TBI treatment Tablets Technology Temperature Testing Time Training Translating Trauma Traumatic Brain Injury Universities Vendor Visualization bench to bedside brain parenchyma brain tissue clinical examination cohort computerized data processing cost data acquisition data exchange data integration data streams digital disability fabrication flexibility health economics implantable device improved improved outcome in vivo individualized medicine innovation instrumentation interest mortality multidisciplinary multimodal data multimodality neural implant neurophysiology neurosurgery personalized care personalized medicine population based pressure prevent safety assessment safety testing sensor socioeconomics software systems technology development transmission process trauma centers usability wounded soldier young adult

项目摘要

PROJECT SUMMARY Present day multimodal monitoring for traumatic brain injury (TBI) is limited in its implementation as it necessitates multiple invasive probes to measure intracranial pressure (ICP), intracranial EEG (icEEG), intracranial temperature (icT), and brain tissue oxygen (PBTO2), the majority of which require their own instrumentation and monitors. While there is increasing evidence to support multimodal monitoring in TBI and other acute brain injuries, the present cumbersome systems make it nearly impossible to use outside of major Level 1 trauma centers. The challenges include the need for expertise with both probe placement and data interpretation as well as the integration of multiple electronic units from different vendors with diverse software systems, each requiring training, IT and biomedical engineering support. Coupled with this is an increased risk of bleeding and infection from the multiple entry points into brain parenchyma. Our objective is to develop a single source brain monitoring solution for the management of severe TBI. We will integrate the modalities indicated for severe TBI (ICP, icEEG, icT, PBTO2) in a brain implantable device called the NeuroProbe with a target diameter which is equivalent to, or smaller than, individual current probes. We will develop a single interface device called the NeuroLink to acquire the multi-modal intracranial data from the NeuroProbe as well as scalp EEG and patient physiological data including systemic blood pressure (SBP), heart rate (HR), mean arterial pressure (MAP) and blood oxygen (SpO2) and transmit these sensor signals to monitors as a time- locked single digital data stream. We will develop a display unit called the NeuroMonitor to analyze and display the acquired multimodal data in a synchronized real-time manner. We call the composite solution created by the NeuroProbe, NeuroLink, and NeuroMonitor devices the NeuroProbe Solution. The technological development of the NeuroProbe Solution dramatically expands the capabilities of the existing icEEG depth electrodes developed at Yale University and multimodal probes currently on the market. The key innovations of the NeuroProbe Solution are: 1. Integration of multiple physiologic sensors on a single intracranial probe (NeuroProbe). 2. Simplification of NeuroProbe to allow placement at bedside in a civilian or military facility. 3. Development of a multimodal interface device (NeuroLink) to store and relay time-locked digital data acquired from the NeuroProbe and extracranial sensors to the NeuroMonitor and other clinical monitors. 4. Development of an iPad sized monitor (NeuroMonitor) to analyze and display multimodal data. 5. Time-locked multi-stream data transfer which allows for real-time and post-hoc data review and analysis. This innovative solution allows acquisition and integration of data from multiple physiological parameters through a standard small tablet creating a simple single end-to-end solution from sensors to multimodal data analysis and display in an otherwise fragmented and complex domain.

项目摘要目前，创伤性脑损伤（TBI）的多模式监测在其实施方面受到限制，因为它需要多个侵入式探头来测量颅内压（ICP）、颅内EEG（icEEG），颅内温度（icT）和脑组织氧（PBTO 2），其中大多数需要自己的仪器和监视器。虽然有越来越多的证据支持TBI的多模式监测，其他急性脑损伤，目前繁琐的系统，使它几乎不可能使用以外的主要一级创伤中心。挑战包括需要探针放置和数据方面的专业知识解释以及来自不同供应商的多个电子单元与不同软件的集成系统，每个都需要培训，IT和生物医学工程支持。再加上这是一个风险增加出血和感染从多处进入脑实质我们的目标是发展一个用于严重TBI管理的单一来源脑监测解决方案。我们将整合各种模式，适用于严重TBI（ICP，icEEG，icT，PBTO 2），在称为NeuroProbe的大脑植入式设备中，目标直径等于或小于单个电流探针。我们将开发一个单一的称为NeuroLink的接口设备也可从NeuroProbe采集多模态颅内数据作为头皮EEG和患者生理数据，包括全身血压（SBP）、心率（HR）、平均动脉压（MAP）和血氧（SpO2），并将这些传感器信号作为时间传输到监护仪。锁定的单个数字数据流。我们将开发一个名为NeuroMonitor的显示单元来分析和显示以同步的实时方式获取多模态数据。我们称之为由 NeuroProbe、NeuroLink和NeuroMonitor器械NeuroProbe解决方案。技术 NeuroProbe解决方案的开发极大地扩展了现有icEEG深度的能力，耶鲁大学开发的电极和目前市场上的多模式探针。的关键创新 NeuroProbe解决方案包括： 1.在单个颅内探头（NeuroProbe）上集成多个生理传感器。 2.简化NeuroProbe，允许放置在民用或军用设施的床边。 3.开发多模式接口设备（NeuroLink），以存储和中继时间锁定的数字数据从NeuroProbe和颅外传感器采集的数据传输到NeuroMonitor和其他临床监护仪。 4.开发iPad大小的监视器（NeuroMonitor），用于分析和显示多模态数据。 5.时间锁定的多流数据传输，允许实时和事后数据审查和分析。这种创新的解决方案允许采集和整合来自多个生理参数的数据通过一个标准的小平板电脑创建一个简单的从传感器到多模式数据的端到端解决方案在分散且复杂的领域中进行分析和显示。