非接触式监测非通气受试者的吸气-呼气 (I:E) 比值

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Journal of Translational Engineering in Health and Medicine-Jtehm Pub Date : 2024-11-11 DOI:10.1109/JTEHM.2024.3496196
Paul S. Addison;Andre Antunes;Dean Montgomery;Ulf R. Borg
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引用次数: 0

摘要

吸气-呼气(I:E)比值是呼吸系统疾病的指标之一,它是指每次呼吸的吸气阶段和呼气阶段之间的比值。在此,我们报告了一种用于测定 I:E 比率的非接触式监测方法的结果。该方法采用了深度传感摄像系统,不需要在患者身上安装传感器。在 4 到 40 次/分钟的呼吸频率范围内,健康志愿者的 I:E 比值从 0.3 到 1.0 不等,总共产生了 3882 次独立呼吸供分析。深度信息是通过距离受试者躯干 1.1 米处的英特尔 D415 RealSense 摄像头获取的。这些数据经过实时处理,以提取与呼吸活动相对应的受试者躯干区域内的深度变化。这些数据被进一步转换成呼吸信号,并从中确定 I:E 比值(I:E $_{\mathrm {depth}}$ )。将 I:Edepth 与肺活量计数据(I:E $_{\mathrm {spiro}}$ )进行比较。布兰德-阿尔特曼分析得出的平均偏差为-0.004,一致性界限为[-0.234, 0.227]。线性回归分析得出的最佳拟合线为 I:E $_{mathrm {depth}} = 1.004\times $ I:Espiro - 0.006,95% 置信区间为斜率 [0.988, 1.019] 和截距 [-0.017, 0.004]。我们已经证明了一种非接触式监测方法的可行性,这种方法可以测定健康受试者在没有机械支持的情况下呼吸时的 I:E 比值。这种方法可用于监测患者呼吸状况的恶化和/或对治疗的反应。临床和转化影响声明 - I:E 比率是慢性阻塞性肺病和哮喘疾病严重程度的指标。对 I:E 比值的非接触式连续监测将为临床医生提供一个强大的呼吸监测新工具。
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Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects
The inhalation-exhalation (I:E) ratio, known to be an indicator of respiratory disease, is the ratio between the inhalation phase and exhalation phase of each breath. Here, we report on results from a non-contact monitoring method for the determination of the I:E ratio. This employs a depth sensing camera system that requires no sensors to be physically attached to the patient. A range of I:E ratios from 0.3 to 1.0 over a range of respiratory rates from 4 to 40 breaths/min were generated by healthy volunteers, producing a total of 3,882 separate breaths for analysis. Depth information was acquired using an Intel D415 RealSense camera placed at 1.1 m from the subjects’ torso. This data was processed in real-time to extract depth changes within the subjects’ torso region corresponding to respiratory activity. This was further converted into a respiratory signal from which the I:E ratio was determined (I:E $_{\mathrm {depth}}$ ). I:Edepth was compared to spirometer data (I:E $_{\mathrm {spiro}}$ ). A Bland Altman analysis produced a mean bias of –0.004, with limits of agreement [–0.234, 0.227]. A linear regression analysis produced a line of best fit given by I:E $_{\mathrm {depth}} = 1.004\times $ I:Espiro – 0.006, with 95% confidence intervals for the slope [0.988, 1.019] and intercept [–0.017, 0.004]. We have demonstrated the viability of a non-contact monitoring method for determining the I:E ratio on healthy subjects breathing without mechanical support. This measure may be useful in monitoring the deterioration in respiratory status and/or response to therapy within the patient population. Clinical and Translational Impact Statement - The I:E ratio is an indicator of disease severity in COPD and asthma. Non-contact continuous monitoring of I:E ratio will offer the clinician a powerful new tool for respiratory monitoring
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来源期刊
CiteScore
7.40
自引率
2.90%
发文量
65
审稿时长
27 weeks
期刊介绍: The IEEE Journal of Translational Engineering in Health and Medicine is an open access product that bridges the engineering and clinical worlds, focusing on detailed descriptions of advanced technical solutions to a clinical need along with clinical results and healthcare relevance. The journal provides a platform for state-of-the-art technology directions in the interdisciplinary field of biomedical engineering, embracing engineering, life sciences and medicine. A unique aspect of the journal is its ability to foster a collaboration between physicians and engineers for presenting broad and compelling real world technological and engineering solutions that can be implemented in the interest of improving quality of patient care and treatment outcomes, thereby reducing costs and improving efficiency. The journal provides an active forum for clinical research and relevant state-of the-art technology for members of all the IEEE societies that have an interest in biomedical engineering as well as reaching out directly to physicians and the medical community through the American Medical Association (AMA) and other clinical societies. The scope of the journal includes, but is not limited, to topics on: Medical devices, healthcare delivery systems, global healthcare initiatives, and ICT based services; Technological relevance to healthcare cost reduction; Technology affecting healthcare management, decision-making, and policy; Advanced technical work that is applied to solving specific clinical needs.
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Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder Table of Contents >IEEE Journal on Translational Engineering in Medicine and Biology publication information IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE Front Cover
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