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
项目总结
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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