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A Portable Monitoring System with Automatic Event Detection for Sleep Apnea Level-IV Evaluation

机译:便携式监测系统,具有自动事件检测功能,可评估IV级睡眠呼吸暂停

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To meet the demands on a comfortable screening, or even diagnostic, equipment without interfering with the sleep, this study develops a level IV portable system, equipped with two tri-axial accelerometers (TAA) measuring the thoracic and abdominal respiratory efforts, and one oximeter measuring the oxygen saturation (SpO2), to identify obstructive sleep apnea (OSA), central sleep apnea (CSA), and hypopnea (HYP) events. The prototype integrates all the hardware and software for physiological information extraction. In addition, an automatic event detection algorithm is proposed to reduce the labor-intensive work on scoring the events. Based on 63 subjects, with 80% data for training and 20% for validation, the classification accuracy of the apnea hypopnea-index (AHI) is 84.13%. The results indicate that the proposed algorithm has great potential to classify the severity of patients in clinical examinations for both the screening and the homecare purposes.
机译:为了满足舒适的筛查甚至诊断设备而不干扰睡眠的需求,本研究开发了一种IV级便携式系统,该系统配备了两个用于测量胸腔和腹部呼吸作用的三轴加速度计(TAA)和一个血氧计测量氧饱和度(SpO2),以识别阻塞性睡眠呼吸暂停(OSA),中枢性睡眠呼吸暂停(CSA)和呼吸不足(HYP)事件。该原型集成了用于提取生理信息的所有硬件和软件。此外,提出了一种自动事件检测算法,以减少对事件进行评分所需的劳动量大的工作。基于63名受试者,通过80%的训练数据和20%的验证数据,呼吸暂停低通气指数(AHI)的分类准确性为84.13%。结果表明,所提出的算法在筛查和家庭护理方面都具有很大的潜力,可以在临床检查中对患者的严重程度进行分类。

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