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Evaluating Innovative In-Ear Pulse Oximetry for Unobtrusive Cardiovascular and Pulmonary Monitoring During Sleep

机译:评估创新的入耳式脉搏血氧饱和度以在睡眠期间进行无干扰的心血管和肺部监测

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摘要

Homecare is healthcare based on the principle “outpatient before inpatient,” with the aim of moving at least some care-delivery to the home. But reliable determination of vital signs at home requires new, smart sensors, which can be used by the patients themselves. We present a novel pulse oximetry sensor worn in the ear channel. It was previously shown that measurement of heart rate, arterial oxygen saturation and related respiratory information can be performed with reliable accuracy under laboratory conditions. The present study explores the clinical feasibility of the sensor system for cardiovascular monitoring during sleep, with the aim to diagnose sleep apnea. For this, human trials were performed in a sleep laboratory including patients with a clinical suspicion of sleep apnea. Besides a general analysis of the sensor's signal quality during sleep, the evaluation focuses on heart rate dynamics and time-variant oxygen saturation. In addition, several methods to derive respiration rate from photoplethysmographic signals are examined and discussed. Results from the in-ear sensor are compared with standard polysomnography monitoring and demonstrate that this novel system allows long-term nocturnal measurement of heart rate, oxygen saturation and respiratory rate with sufficient accuracy.
机译:家庭护理是基于“住院前先住院”原则的医疗保健,目的是至少将一些护理交付到家中。但是在家中可靠地确定生命体征需要新的智能传感器,患者自己可以使用。我们提出了一种在耳道中佩戴的新型脉搏血氧饱和度传感器。先前已证明,可以在实验室条件下以可靠的准确性进行心率,动脉血氧饱和度和相关呼吸信息的测量。本研究探索了用于睡眠期间心血管监测的传感器系统的临床可行性,旨在诊断睡眠呼吸暂停。为此,在包括有临床怀疑呼吸暂停的患者的睡眠实验室中进行了人体试验。除了对睡眠期间传感器的信号质量进行一般分析外,评估还重点关注心率动态和时变氧饱和度。此外,研究和讨论了几种从光电容积描记图信号中得出呼吸频率的方法。入耳式传感器的结果与标准的多导睡眠监测仪进行了比较,并证明了该新型系统能够以足够的精度对夜间心率,血氧饱和度和呼吸频率进行夜间测量。

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