ADAPTIVE SLEEP STAGING ANALYSIS SOFTWARE

在第一阶段使用健壮的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 “适应性分析”。现有的阶段评分计划不允许 分析师改变睡眠阶段的决策标准。有些允许更改 一个时代的分数，但仅仅是对相同数据蒙太奇的重新分析 重新生成原始的错误分数。所有FDA批准的评分 软件在其验证数据集上执行得可以接受，但存在问题 不可避免地出现在面对各种各样的真实- 世界数据。分析人士很快就意识到了这些缺点和 程序会被废弃。此外，现有的计划需要广泛的 当引入新的睡眠参数时重新编码。我们建议创造 针对临床和研究市场的真正自适应分析软件： 允许以图形方式访问决策标准，配置可以是 易于定制和保存，可反映不同的疾病、年龄 从属关系，或单个分析师的首选项。平分标准 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限制： 他们固有的技术限制和分析上的僵化。在 第二阶段结束后，我们将在受人尊敬的睡眠中进行开发和测试 研究实验室商业质量的睡眠研究计划能够满足 目前和未来的分析需求。 建议的商业应用： 在安眠药的预期市场之外，“适应性分析” 这种能力对其他类型的研究和 临床环境、动物睡眠研究、人在环路工业 过程控制，或任何需要用户定制检测和 多渠道事件分析。

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.