Time Domain Description of Polysomnography Data

多导睡眠图数据的时域描述

• 批准号: 6549664
• 负责人: JACK R. SMITH
• 金额: $ 10万
• 依托单位: NEUROTRONICS, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-25 至 2003-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6549664
• 关键词: clinical research; computer data analysis; computer graphics /printing; computer system design /evaluation; data collection methodology /evaluation; data management; electroencephalography; electromyography; human data; information systems; polysomnography; time resolved data

DESCRIPTION (provided by applicant): It is proposed to develop time domain analysis tools for polysomnography data and to use the color dimension to improve the accuracy of the polysomnography data displayed on a computer monitor in thirty second (or longer) epochs. The time domain tools will lead to improved methods for objectively quantifying the information contained in polysomnography data which will supplement the information obtained from sleep staging. The project's feasibility will be demonstrated in Phase I by developing tools for quantifying the slow-wave activity present in the data. The tools will include a graphical interface to facilitate the user inputs and provide multiple means for obtaining the processed data. A database management system will also be developed for managing the sleep-wave data. Computer monitors, because of their limited resolution, are unable to display polysomnography data in thirty second epochs. Unless means are taken to prevent frequency aliasing, the data displayed may be severely distorted. This work will develop frequency discrimination techniques which can utilize the additional dimension of color to more accurately display digital polsomnography data.

描述（由申请人提供）：提出开发用于多导睡眠图数据的时域分析工具，并使用颜色维度来提高在30秒（或更长）的时期内显示在计算机监视器上的多导睡眠图数据的准确性。时域工具将导致用于客观地量化多导睡眠图数据中包含的信息的改进方法，其将补充从睡眠分期获得的信息。该项目的可行性将在第一阶段通过开发用于量化数据中存在的慢波活动的工具来证明。这些工具将包括一个图形界面，以方便用户输入，并提供获取处理数据的多种手段。还将开发一个数据库管理系统，用于管理睡眠波数据。计算机监视器由于其有限的分辨率，不能在30秒的时间段内显示多导睡眠图数据。除非采取措施防止频率混叠，否则显示的数据可能严重失真。这项工作将开发频率鉴别技术，可以利用颜色的额外维度，更准确地显示数字polsomography数据。