ADAPTIVE SLEEP STAGING ANALYSIS SOFTWARE

自适应睡眠阶段分析软件

• 批准号: 2889324
• 负责人: EUGENE M ZAWADZKI
• 金额: $ 37.1万
• 依托单位: CODEBRIS
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2889324
• 关键词: REM sleep; brain electrical activity; computer data analysis; computer program /software; computer system design /evaluation; electrocardiography; electroencephalography; electromyography; electrooculography; polysomnography; sleep; sleep disorders

Sleep scoring software written during Phase I using robust waveform identification techniques will be further developed to support graphical "adaptive analyses". Existing stage scoring programs do not allow analysts to alter sleep stage decision criteria. Some permit changing an epoch's score, but re-analysis of the same data montage merely regenerates the original, incorrect scores. All FDA-approved scoring software perform acceptably on their validation data sets, but problems inevitably have arisen when confronted with the great variety of real- world data. Analysts rapidly realize these shortcomings and the programs fall into disuse. Further, existing programs require extensive re-coding when new sleep parameters are introduced. We propose creation of truly adaptive analysis software for clinical and research markets: allowing graphic access to decision criteria, configurations may be easily tailored and saved which reflect different disorders, age dependencies, or individual analyst preferences. Even criteria involving completely new data types will be supported. By these means we will overcome basic limitations of existing sleep analysis programs: their inherent technical limitations and analytic inflexibility. At the end of Phase II we will have developed and tested in respected sleep research labs a commercial-quality sleep study program able to meet present and future analysis needs. PROPOSED COMMERCIAL APPLICATION: Beyond the intended market in sleep medicine, the "adaptive analysis" capability has commercial potential for other types of research and clinical environments, animal sleep studies, man-in-the-loop industrial process control, or any field requiring user-tailored detection and analysis of multi-channel events.

在阶段I期间使用稳健波形编写的睡眠评分软件 识别技术将进一步发展，以支持图形化 “适应性分析”。 现有的舞台评分程序不允许 分析师改变睡眠阶段的决策标准。 许可证变更 一个时代的分数，但重新分析相同的数据蒙太奇只是 重新生成原始的、不正确的分数。 所有FDA批准的评分 软件在其验证数据集上的表现可以接受，但问题是 当面对各种各样的真实的- 世界数据。 分析师很快意识到这些缺点， 程序被废弃。 此外，现有的方案需要广泛的 当引入新的睡眠参数时重新编码。我们建议创造 为临床和研究市场提供真正自适应的分析软件： 允许图形访问决策标准，配置可以 易于定制和保存，反映不同的疾病，年龄 依赖关系或个人分析师偏好。 偶数标准 将支持涉及全新数据类型的数据。 通过这些手段 我们将克服现有睡眠分析程序的基本局限性： 其固有的技术局限性和分析的可接受性。 在 第二阶段结束时，我们将在受人尊敬的睡眠中进行开发和测试 研究实验室的商业质量的睡眠研究计划，能够满足 分析当前和未来的需求。 拟定商业应用： 在睡眠药物的预期市场之外，“适应性分析” 这种能力对其他类型的研究具有商业潜力， 临床环境、动物睡眠研究、人在回路工业 过程控制或任何需要用户定制检测的领域， 多渠道事件分析。