ISPW8 Conference: Designing the next generation of closed loop seizure control
ISPW8 Conference: Designing the next generation of closed loop seizure control
批准号:
9398788
负责人:
THEODEN I NETOFF
金额:
$1.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2018-06-30
关键词:
AddressBehaviorBig DataBiological MarkersBrainCanis familiarisClinicalClinical TrialsCollaborationsCollectionComputer SimulationData AnalyticsData SetDetectionDevelopmentDevicesDisciplineEducational workshopElectroencephalographyEmerging TechnologiesEngineeringEpilepsyEvaluationFosteringFoundationsFundingGoalsHigh Frequency OscillationIndustryInternationalInterventionLeadMachine LearningMentorsMethodsMinnesotaModelingNeurologistNeuronsNeurosciencesOrganismOutputPaperParticipantPatternPhysiologyResearchResearch PersonnelResolutionScienceSeizuresSeminalSeriesStudentsSurgeonSyndromeSystems AnalysisTechniquesTechnologyTestingTravelUnderrepresented GroupsUnited States National Institutes of HealthUniversitiescareercomputerized data processingcomputerized toolscontrol theorycostdata modelingdata sharingdesigngraduate studentimprovedinterestinternational partnershipmeetingsmembermultimodalityneurophysiologynew technologynext generationnovelpeerphysiologic modelsensorstatisticssuccesssymposiumtool
中文摘要
项目摘要
这项工作的总体目标是召开“ISPW8:设计下一代闭环系统癫痫
控制“,将于2017年8月20日至23日在明尼阿波利斯的明尼苏达大学举行。这
会议是2002年开始的一系列缉获预测研讨会的下一个会议,已成为
定量癫痫研究的主要国际场所。
即将召开的会议的目标是关注下一代癫痫发作的所有阶段的发展
控制装置。第一天将有两个授课环节,一个集中在癫痫的临床方面,
其他关于大数据分析技术。会议的主体将围绕激励的主题进行组织
通过三个阶段的闭环干预:1)输入:感知和生物标志物,2)处理:系统
分析,3)产出:干预。第二天的主题将是关于多式联运传感器和
癫痫的生物标志物,特别是专注于开发新技术。第三天的主题是
利用先进的机器学习、统计和计算模型,来理解和描述
来自高分辨率技术的大数据集。最后一天将是关于新的干预和控制理论:
植入性抗癫痫干预的新战略及其优化方法,以及
实现成闭环控制装置。每一天结束时的“挑衅会议”将重点放在
未发表的研究和假设,随后是讨论和辩论。通过这次会议,我们的目标是
在组成这一独特领域的许多学科之间架起桥梁:理论、计算、
实验、临床和工业,同时也为下一波年轻研究人员做准备。总目标
是开发改进的定量方法来预测、量化、表征和控制癫痫发作。
美国国立卫生研究院正在寻求资金用于旅行支持,以鼓励美国参与。
英文摘要
Project Summary
The overall objective of this effort is to convene “ISPW8: Designing the next generation of closed loop seizure
control”, that will take place August 20-23, 2017 at the University of Minnesota in Minneapolis. This
conference is the next in a series of seizure prediction workshops that started in 2002, and has become the
premier international venue for quantitative epilepsy research.
The goal of this upcoming meeting is to focus on the development of all stages of a next-generation seizure
control device. The first day will have two didactic sessions, one focusing on the clinical aspects of epilepsy, the
other on Big Data analytic techniques. The body of the conference will be organized around themes motivated
by the three stages of closed loop intervention: 1) input: sensing and biomarkers, 2) processing: system
analysis, 3) output: intervention. The theme of the second day of will be on multimodal sensors and
biomarkers of epilepsy, focused especially on developing new technology. The theme of the third day will be on
utilizing advanced machine learning, statistics, and computational models, to understand and characterize the
large datasets from high resolution technology. The final day will be on novel interventions and control theory:
new strategies for implantable anti-seizure interventions and methods for optimizing them, as well as
implementation into closed loop control devices. “Provocative sessions” at the end of each day will focus on
unpublished research and hypotheses followed by discussion and debate. Through this conference we aim to
build bridges between the many disciplines that comprise this unique field: theoretical, computational,
experimental, clinical, and industry, while also preparing the next wave of young researchers. The overall goal
is to develop improved quantitative methods to predict, quantify, characterize, and control seizures.
NIH funding is sought for travel support to encourage US participation.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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