PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones
PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones
复制标题
PTEase：使用商用智能手机进行肺部远程医疗的客观气道检查
DOI：
10.1145/3581791.3596854
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Gao, Wei
中科院分区：
文献类型：
--
作者：
Yin, Xiangyu;Huang, Kai;Forno, Erick;Chen, Wei;Huang, Heng;Gao, Wei
通过远程医疗对肺部疾病的远程监测和评估对于疾病诊断和管理是重要的，但是当前的远程医疗解决方案在客观地检查对肺部疾病评估至关重要的气道的内部生理状况方面具有有限的能力。基于智能手机感测的现有解决方案还限于外部监测呼吸速率、呼吸事件或肺功能。在本文中，我们提出了PTEase，一种新的系统设计，解决了这些限制，并使用商品智能手机来检查气道的内部生理条件。PTEase使用主动声学传感来测量下气道口径的内部变化，然后利用机器学习来分析用于肺部疾病评估的传感数据。我们将PTEase实现为智能手机应用程序，并在实验室控制设置中验证其测量误差<10%。临床研究进一步表明，PTEase对疾病预测的准确率达到75%，估计肺功能指标的误差为11%-15%。鉴于这种准确性与使用肺量计的临床实践相当，PTEase可以可靠地用作疾病评估和监测的辅助远程医疗工具。
Remote monitoring and evaluation of pulmonary diseases via tele-medicine are important to disease diagnosis and management, but current telemedicine solutions have limited capability of objectively examining the airway's internal physiological conditions that are crucial to pulmonary disease evaluation. Existing solutions based on smartphone sensing are also limited to externally monitoring breath rates, respiratory events, or lung function. In this paper, we present PTEase, a new system design that addresses these limitations and uses commodity smartphones to examine the airway's internal physiological conditions. PTEase uses active acoustic sensing to measure the internal changes of lower airway caliber, and then leverages machine learning to analyze the sensory data for pulmonary disease evaluation. We implemented PTEase as a smartphone app, and verified its measurement error in lab-controlled settings as <10%. Clinical studies further showed that PTEase reaches 75% accuracy on disease prediction and 11%-15% errors in estimating lung function indices. Given that such accuracy is comparable with that in clinical practice using spirometry, PTEase can be reliably used as an assistive telemedicine tool for disease evaluation and monitoring.
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作者：
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DOI：
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发表时间：
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期刊：
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发表时间：
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期刊：
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影响因子：
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