ParkinTune: Automated PD Motor Symptom Assessment for DBS Programming
ParkinTune: Automated PD Motor Symptom Assessment for DBS Programming
批准号:
7922938
负责人:
JOSEPH P GIUFFRIDA
金额:
$49.95万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2011-08-31
关键词:
Adverse effectsAffectAlgorithmsAmbulatory Surgical ProceduresAmplifiersBehavioralBiomedical EngineeringBradykinesiaCell TransplantsClinicClinicalClinical ResearchClinical TrialsComplicationComputer softwareDataDecision MakingDeep Brain StimulationDevelopmentDiagnosticDyskinetic syndromeDystoniaElectrodesElectromyographyEnvironmentEssential TremorExerciseFeedbackFigs - dietaryFingersFoundationsFunctional disorderGilles de la Tourette syndromeGrowthHousingInterventionInvoluntary MovementsJudgmentMarketingMeasuresMemoryMinorModelingModificationMonitorMotionMotorMovement DisordersMuscle RigidityOperating RoomsOperative Surgical ProceduresOutcomeOutcome AssessmentOutpatientsOutputParkinson DiseasePatientsPerformancePharmaceutical PreparationsPharmacologic SubstancePhasePhysiologicalProceduresProcessQuality of lifeQuestionnairesRadioResearchResolutionSeveritiesSoftware ValidationSymptomsSystemTechnologyTestingTimeTreatment EfficacyTremorUpper ExtremityVisualWireless TechnologyWorkWristbasecomputerized data processingcostdata acquisitiondata exchangedesignfetus cellfollow-upimprovedpatient safetyprogramsprototypepublic health relevanceresponsesoftware developmentsuccesstool
中文摘要
描述(由申请方提供):目的是设计、构建和临床评估ParkinTune?,一种先进的无线运动障碍监测技术,用于增强帕金森病(PD)脑深部电刺激(DBS)手术中涉及的刺激编程(调谐)。影响生活质量的主要PD症状包括震颤、运动迟缓和僵硬。虽然推动DBS临床成功故事的确切机制尚不清楚,但该程序已被证明在药物不再有效时有效缓解PD运动症状。然而,临床医生缺乏结合联合收割机生理、电气和行为数据来优化电极放置和刺激器编程的工具。优化电极放置和刺激器参数可改善患者接受的运动症状减轻量,并最大限度地减少并发症。目前评估症状的标准是统一帕金森病评定量表(Unified Parkinson's Disease Rating Scale,简称EADS),这是一种定性评级系统。在DBS电极放置手术和后续程控会话期间,通常会完成一系列练习(通常是DBS上肢运动部分的子集),以在临床医生定性评估症状的同时评价性能。CleveMed之前开发了一种紧凑型无线系统,用于量化运动障碍症状,称为ParkinSense?。这一先前存在的技术将作为这一拟议计划的硬件平台。虽然之前的工作已经显示出在临床检查期间客观量化症状的出色结果,但该拟议项目将集成几个新功能,用于DBS手术电极放置和刺激编程的实时辅助。由该拟议快速通道应用程序产生的临床可部署ParkinTune系统将提供一种紧凑的无线系统,用于手术室和门诊随访程控会话,最大限度地提高患者安全性和舒适度。电极放置和后续程控期间传输的客观生物动力学数据将输入到算法中,该算法实时输出客观PD症状严重程度的连续量表,以指导临床医生决策。ParkinTune系统的分辨率提高和可重复结果应可减少DBS手术的时间和成本,并优化患者结局。
英文摘要
DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess ParkinTune?, an advanced wireless movement disorder monitor technology to augment stimulation programming (tuning) involved in deep brain stimulation (DBS) procedures for Parkinson's Disease (PD). Major PD symptoms that affect quality of life include tremor, bradykinesia, and rigidity. While the exact mechanism that fuels DBS clinical success stories remains unclear, the procedure has been shown to effectively relieve PD motor symptoms when medication is no longer effective. However, clinicians lack tools that combine physiological, electrical, and behavioral data to optimize electrode placement and stimulator programming. Optimizing electrode placement and stimulator parameters improves the amount of motor symptom reduction patients receive and minimizes complications. The current standard in evaluating symptoms is the Unified Parkinson's Disease Rating Scale (UPDRS), a qualitative ranking system. A battery of exercises, typically a subset of the upper extremity motor section of the UPDRS, is normally completed during DBS electrode placement surgery and subsequent programming sessions to evaluate performance while a clinician qualitatively assesses symptoms. CleveMed has previously developed a compact wireless system to quantify movement disorder symptoms called ParkinSense?. This previously existing technology will serve as the hardware platform for this proposed program. While previous work has shown excellent results to objectively quantify symptoms during a clinical exam, this proposed project will integrate several new features for real-time assistance with DBS surgery electrode placement and stimulation programming. The clinically deployable ParkinTune system resulting from this proposed Fast-Track application will provide a compact wireless system for use in the operating room and outpatient follow up programming sessions that maximizes patient safety and comfort. The objective biokinetic data transmitted during electrode placement and subsequent programming will be input to algorithms that output a continuous scale of objective PD symptom severity in real-time to guide clinician decision making. The improved resolution and repeatable results of the ParkinTune system should reduce time and costs of DBS procedures as well as optimize patient outcomes.
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会议论文
ParkinTune: Automated PD Motor Symptom Assessment for DBS Programming
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海外基金