ParkinTune: Automated PD Motor Symptom Assessment for DBS Programming

ParkinTune：用于 DBS 编程的自动 PD 运动症状评估

• 批准号: 7537817
• 负责人: JOSEPH P GIUFFRIDA
• 金额: $ 24.56万
• 依托单位: CLEVELAND MEDICAL DEVICES, INC.
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7537817
• 关键词: Adverse effects; Affect; Algorithms; Ambulatory Surgical Procedures; Amplifiers; Behavioral; Biomedical Engineering; Bradykinesia; Clinic; Clinical; Clinical Research; Clinical Trials; Complication; Computer software; Data; Decision Making; Deep Brain Stimulation; Development; Diagnostic; Dyskinetic syndrome; Dystonia; Electrodes; Electromyography; Environment; Essential Tremor; Exercise; Feedback; Figs - dietary; Fingers; Foundations; Functional disorder; Gilles de la Tourette syndrome; Growth; Housing; Intervention; Involuntary Movements; Judgment; Marketing; Measures; Memory; Minor; Modeling; Modification; Monitor; Motion; Motor; Movement Disorders; Muscle Rigidity; Operating Rooms; Operative Surgical Procedures; Outcome; Outcome Assessment; Outpatients; Output; Parkinson Disease; Patients; Performance; Pharmaceutical Preparations; Pharmacologic Substance; Phase; Physiological; Placement; Procedures; Process; Public Health; Quality of life; Questionnaires; Radio; Rate; Research; Resolution; Score; Severities; Software Validation; Standards of Weights and Measures; Symptoms; System; Technology; Testing; Time; Transplantation; Treatment Efficacy; Tremor; United States Food and Drug Administration; Upper Extremity; Visual; Wireless Technology; Work; Wrist; base; computerized data processing; cost; data acquisition; design; fetus cell; follow-up; improved; patient safety; programs; prototype; response; software development; success; tool; transmission process

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. PUBLIC HEALTH RELEVANCE. While the exact mechanism that fuels deep brain stimulation clinical success stories remains unclear, the procedure effectively relieves Parkinson's disease 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. ParkinTune", a repeatable, automated tool that can quantify motor symptoms will assist stimulation programming during surgical electrode placement and outpatient follow up to optimize patient outcomes and reduce associated time and costs.

描述（由申请人提供）：目的是设计，建立和临床评估Parkintune”，这是一种高级无线运动障碍技术，以增强刺激节目（调整）参与帕金森氏病（PD）（PD）（PD）的刺激程序（调音）。当药物不再有效时，有效地减轻了PD运动症状。 系统。通常在DBS电极放置手术和随后的编程课程中完成一系列练习，通常是UPDRS的上肢运动部分的一部分，以评估性能，同时临床医生定性评估症状。 Clevemed先前已经开发了一种紧凑的无线系统来量化称为parkinsense的运动障碍症状。在手术室中使用的无线系统和在电极放置期间传播的客观生物动力学数据和随后的编程将输入算法，以输出目标PD症状的持续规模，以实时指导临床决策，该算法是持续的，这些系统将在电极放置期间最大化。结果。公共卫生相关性。 虽然燃烧深脑刺激临床成功故事的确切机制尚不清楚，但当药物不再有效时，该程序可有效缓解帕金森氏病运动症状。但是，临床医生缺乏结合生理，电气和行为数据来优化电极放置和刺激器编程的工具。 Parkintune”是一种可重复的自动化工具，可以量化运动症状，将有助于在手术电极放置和门诊期间刺激节目，以优化患者的预后并减少相关的时间和成本。