ADAPTIVE SLEEP STAGING ANALYSIS SOFTWARE

自适应睡眠阶段分析软件

• 批准号: 2716852
• 负责人: EUGENE M ZAWADZKI
• 金额: $ 36.5万
• 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 2000-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2716852
• 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.

在第一阶段使用强大的波形编写的睡眠评分软件 将进一步开发识别技术以支持图形 “适应性分析”。 现有的阶段评分程序不允许 分析师改变睡眠阶段决策标准。 有些允许更改 一个纪元的分数，但仅仅是对相同数据蒙太奇的重新分析 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表现良好，但存在问题 当面对各种各样的现实时，不可避免地会出现 世界数据。 分析师很快意识到这些缺点并 程序被废弃。 此外，现有计划需要大量 当引入新的睡眠参数时重新编码。我们提出创作 适用于临床和研究市场的真正自适应分析软件： 允许图形访问决策标准，配置可以是 易于定制和保存，反映不同的疾病、年龄 依赖性，或个人分析师的偏好。 均匀标准 将支持涉及全新的数据类型。 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： 它们固有的技术局限性和分析不灵活性。 在 第二阶段结束时，我们将在受尊重的睡眠中进行开发和测试 研究实验室提供商业质量的睡眠研究计划，能够满足 当前和未来的分析需求。 拟议的商业应用： 除了睡眠医学的预期市场之外，“适应性分析” 能力具有其他类型研究的商业潜力 临床环境、动物睡眠研究、人在环工业 过程控制或任何需要用户定制检测和 多渠道事件分析。