Instrument for Glaucoma Early Detection and Monitoring

青光眼早期检测和监测仪器

• 批准号: 6690919
• 负责人: GEORGE Z HU
• 金额: $ 10万
• 依托单位: SYNABRIDGE CORPORATION
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6690919
• 关键词: adult human (21+); bioengineering /biomedical engineering; biomedical equipment development; clinical biomedical equipment; clinical research; computer data analysis; computer human interaction; computer program /software; computer system design /evaluation; early diagnosis; electroencephalography; electrophysiology; evoked potentials; eye disorder diagnosis; glaucoma; glaucoma test; human subject; noninvasive diagnosis; patient monitoring device; patient oriented research

DESCRIPTION (provided by applicant): Glaucoma is one of the leading causes of blindness in the United States. It produces a gradual and progressive degeneration of retinal ganglion cells, which transmit visual information along the optic nerve to the brain. Unfortunately, by the time this glaucomatous neuropathy is detected, there is typically extensive and permanent damage to the visual system and profound loss in visual function. Presently, there is a paucity of screening and diagnostic tools available to vision professionals that can aid in the early detection of this disease and in the monitoring of treatments for the purpose of neuroprotection. There is evidence to indicate that select pathways of the visual system are affected in an early stage of the disease. The long-term goals of this project are to provide vision professionals with an objective, efficient, and user-friendly instrument that will aid in the following tasks: . Detection of visual deficits as early in the disease process of glaucoma as possible . Monitoring of visual function quantitatively over time . Assessment of the efficacy of neuroprotective treatments for glaucoma The specific aims are to design a clinical electrophysiological device with the following features: 1) Stimulus presentations that drive selectively the parallel pathways known to be affected in the early stages of glaucomatous neuropathy, and that are short in duration to suit clinical usage. 2) Data analysis to extract the dominant frequency component of the responses and application of multivariate statistics to automatically reject corrupted signals, rigorously quantify the noise level in the recording and to derive an objective measure of signal-to-noise known to reveal deficits in patients with glaucoma and glaucoma suspects. 3) Windows-based graphical user interface for simplified operation by non-expert assistants.

描述（由申请人提供）：青光眼是美国失明的主要原因之一。它产生视网膜神经节细胞的逐渐变性，将视觉信息沿视神经传输到大脑。不幸的是，当检测到这种青光眼的神经病时，视觉系统通常会造成广泛而永久的损害，并且视觉功能的巨大损失。目前，视力专业人员可以使用筛查和诊断工具，这些工具可以帮助早期发现该疾病，并为神经保护的目的监测治疗。有证据表明，在疾病的早期阶段，视觉系统的精选途径受到影响。 该项目的长期目标是为愿景专业人士提供客观，高效和用户友好的工具，以帮助以下任务： 。在青光眼疾病过程的早期，视觉缺陷的检测 。随着时间的推移，定量监视视觉功能 。评估神经保护疗法对青光眼的疗效 具体目的是设计具有以下特征的临床电生理设备： 1）在青光眼神经病的早期阶段选择性地驱动已知会影响的平行途径的刺激介绍，并且持续时间很短以适合临床使用。 2）数据分析是为了提取响应的主要频率成分，并应用了多元统计量以自动拒绝损坏的信号，严格量化记录中的噪声水平，并得出已知的信号到噪声的客观度量，该量度已知，该噪声措施已知，揭示了青光眼和青光眼嫌疑犯患者的缺陷。 3）基于Windows的图形用户界面，用于非专家助手的简化操作。