Pilot and feasibility study of a mobile health tool to measure respiratory distress in infants

项目摘要 肺炎引起的呼吸衰竭是婴儿和5岁以下儿童死亡的主要原因 在低收入和中等收入国家。这些死亡是可以避免的，如果呼吸窘迫的警告信号， 被及早发现。 婴儿呼吸窘迫的临床参数包括呼吸频率（RR）增加，剑突明显增加， 回撤（XR）和胸腹联合切除术（TAA）。在实践中，仅常规测量RR， 而TAA和XR是通过视觉观察婴儿的呼吸来主观评估的。值得注意的是， 仅有的临床评估呼吸窘迫的工具是依靠主观视觉的评分系统， 婴儿的评估，因此结果的可重复性很差，依赖于临床医生的培训， 体验. 我们的首要目标是开发一种移动的健康工具来客观地测量婴儿的呼吸窘迫。 这种低成本、准确、易于使用和易于获得的工具可能会对 降低资源贫乏环境中的儿童死亡率，呼吸道疾病仍然是主要原因 死亡之 本研究将收集试点数据，并验证测量呼吸系统临床参数的可行性。 视频中的遇险（TAA、RR和XA）。这项研究的新奇在于，它将使用视频捕捉 客观地量化呼吸窘迫的主要体征的商品智能手机的功能， 非侵入性地，并且不需要任何专门的硬件。基于视频的参数的准确性 将通过与当前的黄金标准进行比较来确定。这项研究的结果将至关重要 对处于困境中的婴儿进行更大规模的前瞻性研究，为建立一个移动的 健康工具，以确定呼吸窘迫的存在和严重程度。

Project Summary Respiratory failure due to pneumonia is the leading cause of death in infants and children under 5 years of age in low and middle-income countries. These deaths could be prevented if warning signs of respiratory distress were detected early. Clinical parameters of respiratory distress in infants include increased respiratory rate (RR), marked xiphoid retractions (XR), and thoracoabdominal asynchrony (TAA). In practice, only RR is measured routinely, whereas TAA and XR are assessed subjectively from visual observation of infants' breathing. Remarkably, the only clinical tools that exist to evaluate respiratory distress are scoring systems that rely on subjective visual assessment of an infant, so the results are poorly reproducible and dependent on clinicians' training and experience. Our over-arching goal is to develop a mobile health tool to objectively measure respiratory distress in infants. Such a low-cost, accurate, easy-to-use, and readily-available tool could have a significant impact on decreasing child mortality in resource-poor settings, where respiratory diseases continue to be the main cause of death. This study will collect pilot data and validate the feasibility of measuring clinical parameters of respiratory distress (TAA, RR, and XA) from video. The novelty of the proposed study is that it will use the video capture functionality of a commodity smartphone to quantify major signs of respiratory distress objectively, noninvasively, and without the need for any specialized hardware. The accuracy of video-based parameters will be determined by comparing them with the current gold standards. The results of this study will be critical for conducting a larger prospective study on infants in distress that will provide the basis for building a mobile health tool to determine the presence and severity of respiratory distress.