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一种新型系统,可连续可视化和分析呼吸音,以便及时评估上呼吸道异常:一项初步研究。

A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study.

机构信息

Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

出版信息

J Clin Monit Comput. 2022 Feb;36(1):221-226. doi: 10.1007/s10877-020-00641-5. Epub 2021 Jan 18.

DOI:10.1007/s10877-020-00641-5
PMID:33459947
Abstract

Although respiratory sounds are useful indicators for evaluating abnormalities of the upper airway and lungs, the accuracy of their evaluation may be limited. The continuous evaluation and visualization of respiratory sounds has so far been impossible. To resolve these problems, we developed a novel continuous visualization system for assessing respiratory sounds. Our novel system was used to evaluate respiratory abnormalities in two patients. The results were not known until later. The first patient was a 23-year-old man with chronic granulomatous disease and persistent anorexia. During his hospital stay, he exhibited a consciousness disorder, bradypnea, and hypercapnia requiring tracheal intubation. After the administration of muscle relaxant, he suddenly developed acute airway stenosis. Because we could not intubate and ventilate, we performed cricothyroidotomy. Subsequent review of our novel system revealed mild stridor before the onset of acute airway stenosis, which had not been recognized clinically. The second patient was a 74-year-old woman who had been intubated several days earlier for tracheal burn injury, and was extubated after alleviation of her laryngeal edema. After extubation, she gradually developed inspiratory stridor. We re-intubated her after diagnosing post-extubation laryngeal edema. Subsequent review of our novel system revealed serially increased stridor after the extubation, at an earlier time than was recognized by healthcare providers. This unique continuous monitoring and visualization system for respiratory sounds could be an objective tool for improving patient safety regarding airway complications.

摘要

虽然呼吸音是评估上呼吸道和肺部异常的有用指标,但评估的准确性可能有限。呼吸音的连续评估和可视化至今仍不可能。为了解决这些问题,我们开发了一种新的连续可视化系统来评估呼吸音。我们的新系统用于评估两名患者的呼吸异常。结果是在以后才知道的。第一个患者是一名 23 岁的男性,患有慢性肉芽肿病和持续的厌食症。在住院期间,他表现出意识障碍、呼吸过缓,伴有高碳酸血症,需要气管插管。在给予肌肉松弛剂后,他突然出现急性气道狭窄。由于我们无法插管和通气,因此进行了环甲切开术。随后对我们的新系统进行了回顾,发现急性气道狭窄发作前有轻度喘鸣,但临床上并未识别。第二个患者是一名 74 岁的女性,因气管烧伤数天前插管,喉水肿缓解后拔管。拔管后,她逐渐出现吸气性喘鸣。在诊断为拔管后喉水肿后,我们重新为她插管。随后对我们的新系统进行了回顾,发现拔管后喘鸣逐渐增加,比医护人员识别的时间更早。这种独特的呼吸音连续监测和可视化系统可以成为改善气道并发症患者安全的客观工具。

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Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors.基于柔性光纤布拉格光栅传感器的智能纺织品在射箭运动中的心肺监测。
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A breath sound analysis in children with cough variant asthma.儿童咳嗽变异性哮喘的呼吸音分析。
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A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy.基于自适应运动策略的地磁场强度变化检测模型研究
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