VALIDATION OF APNEA RISK EVALUATION SLEEP SCORING
VALIDATION OF APNEA RISK EVALUATION SLEEP SCORING
批准号:
7605783
负责人:
INDU A AYAPPA
金额:
$0.12万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-04-01 至 2008-03-31
关键词:
AlgorithmsApneaClinicalCollectionCommunitiesComputer Retrieval of Information on Scientific Projects DatabaseDevelopmentDevicesDiagnosisDiagnosticElectroencephalographyEvaluationForeheadFundingGoalsGrantHead MovementsHome environmentInstitutionLaboratoriesMethodsMonitorNoseNumbersObstructive Sleep ApneaOxygenPatientsPerformancePolysomnographyPositioning AttributeProcessPulse OximetryPulse RatesQuestionnairesResearchResearch PersonnelResourcesRespirationRiskScoreSignal TransductionSiteSleepSleep StagesSnoringSourceStandards of Weights and MeasuresSymptomsSyndromeSystemTestingTimeUnited States National Institutes of HealthValidationbasecostdiagnostic accuracy
中文摘要
这个子项目是许多研究子项目中利用
资源由NIH/NCRR资助的中心拨款提供。子项目和
调查员(PI)可能从NIH的另一个来源获得了主要资金,
并因此可以在其他清晰的条目中表示。列出的机构是
该中心不一定是调查人员的机构。
阻塞性睡眠呼吸暂停低通气综合征(OSAHS)的诊断通常是在睡眠实验室进行全夜多导睡眠图,并对睡眠、血氧饱和度和呼吸进行全面监测。这一过程既耗时又昂贵。此外,越来越多的患者转诊到睡眠中心,特别是阻塞性睡眠呼吸暂停综合征的症状,导致一些中心在本研究的执行过程中延迟长达1年。因此,开发一种简便、准确的诊断OSAHS的方法是非常必要的。呼吸暂停风险评估系统(ARES)使用一种多变量方法,集成了自行应用的单部位设备,以连续记录a)额头脉搏血氧仪和脉搏频率;b)鼻气流和鼾声;c)头部运动和位置;结合基于拟人和临床信息的有效问卷。研究人员和其他人最近通过将实验室多导睡眠图与使用ARES Unicorder获得的无人值守的有限通道家庭研究进行比较,验证了ARES Unicorder的诊断实用性。然而,反对使用睡眠社区提出的这种有限监测的理由之一是,ARES单项记录中没有EEG评分的睡眠。这项拟议的研究的目标是通过额外的EEG通道获得ARES的记录,并开发和测试一种使用该信号检测睡眠的算法。ARES信号将与实验室多导睡眠图(PSG)期间采集的标准信号同时采集。在全面多导睡眠图期间,从电生理记录收集的睡眠分期下降图将被用来确认ARES自动睡眠分期算法的准确性。如果能够证明高度的诊断准确性,ARES系统将为OSAHS患者提供一种无人值守、低成本的替代诊断策略。
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
The diagnosis of obstructive sleep apnea/hypopnea syndrome (OSAHS) is usually made from a full-night polysomnography performed in the sleep laboratory with complete monitoring of sleep, oxygen saturation and respiration. This process is both time consuming and expensive. In addition, increasing numbers of patients referred to sleep centers, particularly for symptoms of obstructive sleep apnea syndrome, produce delays of up to 1 year in some centers in the performance of this study. As a result, the development of a simplified accurate method of diagnosing OSAHS is highly desirable. The Apnea Risk Evaluation System (ARES) uses a multivariate approach that integrates a self-applied, single-site device to continuously record a) forehead pulse oximetry and pulse rate; b) nasal airflow and snoring; and c) head movements and position; combined with a validated questionnaire based on anthropomorphic and clinical information. The investigators and others have recently validated the diagnostic utility of the ARES unicorder by comparing laboratory polysomnography to unattended limited-channel in-home studies obtained using the ARES Unicorder. However, one of the arguments against the use of this limited monitoring posed by the sleep community is the absence of EEG scored sleep in the ARES unicorder. The goal of the proposed research is to obtain recordings of the ARES with an additional EEG channel, and to develop and test an algorithm to detect sleep using this signal. The ARES signals will be acquired concurrently with the standard signals acquired during laboratory polysomnography (PSG). The sleep-staging hypograms derived from the electrophysiological recordings collection during full polysomnography will be used to confirm the accuracy of the ARES automated algorithms for the staging of sleep. If a high degree of diagnostic accuracy can be demonstrated, the ARES system would provide an unattended, low-cost alternative diagnostic strategy for patients with OSAHS.
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