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Ambulatory monitoring of respiratory effort using a clothing-adhered biosensor

机译:使用附着在衣服上的生物传感器动态监测呼吸活动

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Accurate ambulatory sensing of patterns of respiratory effort has long eluded biomedical researchers. Though the data would inform clinical decision-making, the lack of sensors suitable for such data collection stymies clinical impact. This study describes an approach to sensing respiratory effort via thoracic and/or abdominal excursion in a form that affords longitudinal and continuous adherence. This approach leverages force-based sensors embedded in a clothing-adhered form factor to reduce user inconveniences. The primary benefit of this approach is user acceptance: it can monitor data longitudinally while addressing impactful user inconvenience issues with existing devices. Compared to a ground truth monitor of respiratory effort, and across both cognitive and physical tasks, the present approach resulted in a relative median error of 6.8% and mean absolute error of 1.8 breaths per min (SD=0.14). Sensor location affected performance, with chest-worn sensors outperforming waist-worn sensors. A more granular analysis of temporal markers of the respiratory cycle showed high agreement with ground truth; end-of-expiration temporal markers exhibited the least precision. The results indicate that this approach can be used to monitor respiratory effort accurately and theoretically with high adherence.
机译:生物医学研究人员长期以来一直不了解呼吸活动模式的准确动态信息。尽管数据可以为临床决策提供依据,但缺乏适合于此类数据收集的传感器阻碍了临床影响。这项研究描述了一种通过胸腔和/或腹部偏移感测呼吸作用的方法,该方法可提供纵向和连续的依附性。这种方法利用嵌入在衣服附着形式中的基于力的传感器来减少用户的不便。这种方法的主要好处是用户接受度:它可以纵向监视数据,同时解决现有设备对用户造成的不便问题。与呼吸努力的地面真相监控器以及认知和身体任务相比,本方法导致相对中位数误差为6.8%,平均绝对误差为每分钟1.8次呼吸(SD = 0.14)。传感器位置会影响性能,其中,胸戴式传感器的性能优于腰戴式传感器。对呼吸周期的时间标志物进行更细致的分析表明,其与事实真相高度吻合。呼气末期时间标记的精度最低。结果表明,该方法可用于从理论上高度准确地监测呼吸作用。

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