首页> 外文期刊>Journal of clinical sleep medicine: JCSM : official publication of the American Academy of Sleep Medicine >An automated sleep-analysis system operated through a standard hospital monitor.
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An automated sleep-analysis system operated through a standard hospital monitor.

机译:通过标准医院监视器运行的自动化睡眠分析系统。

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STUDY OBJECTIVES: Sleep disordered breathing (SDB), a cause of clinically important cardiovascular comorbidity, is often not recognized and diagnosed. An automated system that detects SDB using signals from a standard hospital monitor might provide useful information about the presence and severity of SDB without the need to evaluate the patient in a sleep laboratory and without additional hardware. The aim of this study was to examine the feasibility and accuracy of routine overnight sleep testing for SDB detection by an automated analysis system that operates by analyzing signals derived from standard hospital monitors. METHODS: Comparison of SDB detection by simultaneous "gold-standard" polysomnography and by Morpheus Hx (WideMed, Ltd., Herzliya, Israel), a bedside computerized analysis system (CAS) connected to a standard hospital monitor (ECG, respiratory impedance, end-tidal carbon dioxide (ETCO2), and SpO2). A total of 53 subjects were examined, 36 men and 17 women, all with suspected SDB. Each subject underwent an overnight sleep study, scored both by polysomnography and by CAS. The study was conducted in Brigham and Women's Hospital, Newton Center, MA. RESULTS: CAS-derived values for apnea-hypopnea index and total sleep time, were each found to be highly correlated with the corresponding polysomnography results, with linear regression values of r = 0.96 and r = 0.82, respectively. Mean apnea-hypopnea index values were also quite similar (CAS of 15.5 +/- 20.0 vs polysomnography of 15.4 +/- 24.0). CONCLUSIONS: An automated sleep-analysis system utilizing signals derived from a standard hospital monitor can be considered as a feasible and accurate method to detect and quantify SDB.
机译:研究目的:睡眠呼吸障碍(SDB)是临床上重要的心血管合并症的病因,通常未被识别和诊断。使用来自标准医院监护仪的信号检测SDB的自动化系统可能会提供有关SDB的存在和严重程度的有用信息,而无需在睡眠实验室评估患者,也无需额外的硬件。这项研究的目的是通过自动分析系统来检查常规夜间睡眠测试用于SDB检测的可行性和准确性,该系统通过分析从标准医院监护仪获得的信号进行操作。方法:比较同时进行的“金标准”多导睡眠监测仪和Morpheus Hx(WideMed,Ltd.,以色列荷兹利亚,以色列)对SDB的检测,该床旁计算机分析系统(CAS)连接到标准医院监护仪(ECG,呼吸阻抗,末端-潮汐二氧化碳(ETCO2)和SpO2)。总共检查了53名受试者,其中36名男性和17名女性,均患有SDB。每个受试者均进行了一项通宵睡眠研究,该研究均通过多导睡眠图和CAS评分。这项研究是在马萨诸塞州牛顿中心的布莱根妇女医院进行的。结果:CAS得出的呼吸暂停低通气指数和总睡眠时间分别与相应的多导睡眠图检查结果高度相关,其线性回归值分别为r = 0.96和r = 0.82。平均呼吸暂停-呼吸不足指数值也非常相似(CAS为15.5 +/- 20.0,而多导睡眠图为15.4 +/- 24.0)。结论:利用从标准医院监护仪获得的信号的自动睡眠分析系统可以被认为是检测和定量SDB的可行且准确的方法。

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