Low-Cost, Portable, Point of Care Amplitude-Integrated Electroencephalography (aEEG)
低成本、便携式、床旁幅值积分脑电图 (aEEG)
基本信息
- 批准号:9194546
- 负责人:
- 金额:$ 49.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-01 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:AffectAntiepileptic AgentsAreaAsphyxiaAsphyxia NeonatorumBenignBirthBrain InjuriesCaringCerebrumChildChildhoodClinicClinicalCodeCollaborationsCollectionCommunitiesCommunity HospitalsCompanionsComputer softwareConsultDataDevice or Instrument DevelopmentDevicesDiagnosisDiagnosticDigital Signal ProcessingEarly DiagnosisElectroencephalographyEnsureEvaluationFamily PracticeFrightGoalsGoldHypoxiaInfantIntensive CareInterventionLeadLettersLimb structureMarketingMedicalMedical ElectronicsMedical centerModalityMonitorMovementNamesNeonatal Intensive Care UnitsNeonatologyNeurologicNeurologic DysfunctionsNeurological outcomeNeurologistNewborn InfantNurseriesOutcomePediatricsPharmaceutical PreparationsPhasePhysiciansPopulationProductionProviderResearch PersonnelResourcesSan FranciscoSeizuresSignal TransductionSpecialistStatus EpilepticusSubclinical SeizuresSystemTechnologyTelemedicineTherapeuticTrainingTremorUnited Statesabstractingbasecostdesigndesign and constructionexperienceimprovedinstrumentinstrumentationnatural hypothermianeonatal hypoxic-ischemic brain injuryneonatepediatricianpoint of careprofessorprototypestandard of caretelehealthtooltransmission processuser-friendly
项目摘要
Project Summary/Abstract
The goal of this project is to develop a portable, low-cost tool to aid in the diagnosis and management of
neonates born with neurologic complications. The project will develop instrumentation technology and
associated software to enable early detection of neurologic brain injury and seizure activity for newborns
delivered in care facilities that lack a full suite of neurological diagnostic tools. In neonates with birth asphyxia,
seizures are very common and most frequently subclinical. Many studies have observed that even experienced
clinicians have difficulty correctly identifying seizures in this population. Subsequently, clinical paroxysms that
do not truly represent seizure are frequently over-treated and subclinical seizures, including status epilepticus,
go unrecognized and untreated. As such, the use of continuous video‐electroencephalograph (EEG)
monitoring is the gold standard for recognizing and treating seizures in this population. It is also very helpful at
identifying which children have sustained brain injury, including hypoxia. This resource intense modality has
become the standard of care at many tertiary medical centers but unfortunately remains unavailable to many
clinicians at smaller birth facilities. Quantitative EEG, including the use of amplitude-integrated EEG (aEEG),
has gained widespread use at most neonatal ICUs, and represents a more user-friendly bedside tool for
identifying brain injury and seizures. The proposed phase II project aims to design, build, and evaluate a low-
cost telemedicine-enabled aEEG monitor and associated multi-instrument software package that supports
widespread use of aEEG in community-based birth / care facilities.
项目总结/摘要
该项目的目标是开发一种便携式,低成本的工具,以帮助诊断和管理
新生儿有神经系统并发症。该项目将开发仪器技术,
相关软件,能够早期检测新生儿的神经性脑损伤和癫痫发作活动
在缺乏全套神经诊断工具的护理机构中进行。在新生儿出生窒息,
癫痫发作非常常见,最常见的是亚临床发作。许多研究发现,即使经历过
临床医生很难正确识别这一人群中的癫痫发作。随后,临床发作,
并不真正代表癫痫发作经常是过度治疗和亚临床癫痫发作,包括癫痫持续状态,
得不到承认和治疗因此,使用连续视频脑电图仪(EEG)
监测是识别和治疗这一人群癫痫发作的黄金标准。它也非常有帮助,
确定哪些儿童患有持续性脑损伤,包括缺氧。这种资源密集型模式
成为许多三级医疗中心的护理标准,但不幸的是,
小型分娩机构的临床医生。定量EEG,包括使用振幅积分EEG(aEEG),
已在大多数新生儿ICU中得到广泛使用,并代表了一种更用户友好的床边工具,
识别脑损伤和癫痫拟议的第二阶段项目旨在设计、建造和评估一个低-
成本远程医疗启用aEEG监测器和相关的多仪器软件包,支持
aEEG在社区分娩/护理机构的广泛使用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Gregory John Seifert其他文献
Gregory John Seifert的其他文献
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{{ truncateString('Gregory John Seifert', 18)}}的其他基金
Low-Cost, Portable, Point of Care Amplitude-Integrated Electroencephalography (aEEG)
低成本、便携式、床旁幅值积分脑电图 (aEEG)
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9315618 - 财政年份:2015
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- 资助金额:
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- 资助金额:
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具有增强热成像功能的视网膜假体
- 批准号:
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- 资助金额:
$ 49.21万 - 项目类别:
Distance Bounded Impulse Radio For Continuous Glucose Sensor
用于连续血糖传感器的距离限制脉冲无线电
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- 资助金额:
$ 49.21万 - 项目类别:
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