Non-Contact Wi-Fi Sensing of Respiration Rate for Older Adults in Care: A Validity and Repeatability Study
Non-Contact Wi-Fi Sensing of Respiration Rate for Older Adults in Care: A Validity and Repeatability Study
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DOI：
10.1109/access.2024.3349700
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发表时间：
2024
期刊：
影响因子：
3.9
通讯作者：
Aaesha Alzaabi;Tughrul Arslan;Nick Polydorides
中科院分区：
文献类型：
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作者：
Aaesha Alzaabi;Tughrul Arslan;Nick Polydorides
近年来，人们在非接触式Wi-Fi传感应用方面做出了相当大的努力，例如跌倒检测和生命体征监测。对于医疗保健中的新兴技术，在实际实施之前评估新测量仪器的有效性和可重复性是至关重要的。然而，现有的文献还没有涉及从Wi-Fi CSI获得的呼吸频率测量的临床有效性和可重复性。这项研究利用医疗仪器统计数据，通过调查Wi-Fi传感在测量呼吸频率方面的有效性和可重复性，来填补这一研究空白。为此，我们首先利用现有的ESP32器件和信号处理方法实现了一种非接触式Wi-Fi通道状态信息呼吸率传感系统。然后，我们根据呼吸带NUL-236评估了Wi-Fi传感器的呼吸速率测量的有效性。Bland-Altman方法在老年人[12，28]BPM的标准呼吸频率范围内提供了同方差结果，实现了[1.29，1.06]BPM的有效性，使我们能够分析单点测量的重复性。因此，我们使用数据的扩散和测量中的随机误差的含义来评估14BPM的测量重复性。Wi-Fi CSI测量数据集和相应的腰带数据可用于有效性和重复性实验。通过提供适当的测量有效性和重复性指标，护理专业人员可以就非接触式Wi-Fi传感系统在测量呼吸频率方面的可接受性和普适性做出明智的决定。
In recent years, considerable effort has been directed towards non-contact Wi-Fi sensing applications such as fall detection and vital sign monitoring. For emerging technologies in healthcare, it is essential to assess the validity and repeatability of new measurement instruments before real-world implementation. However, the existing literature has not addressed the clinical validity and repeatability of respiration rate measurements obtained from Wi-Fi CSI. This study draws on medical instrumentation statistics to address this research gap by investigating the validity and repeatability of Wi-Fi sensing in measuring respiratory rates. For this purpose, we first implement a non-contact Wi-Fi Channel State Information respiration rate sensing system using off-the-shelf ESP32 devices and signal processing methods. Then, we evaluated the validity of the Wi-Fi sensor’s respiration rate measurement against respiration belt NUL-236 as a ground truth. The Bland-Altman method provided homoscedastic results across the standard range of respiration rates of older adults [12, 28] BPM achieving a validity of [1.29, 1.06] BPM, allowing us to analyze measurement repeatability at a single point. Hence, we assessed the measurement repeatability at 14 BPM using the spread of the data and the implications of random error in the measurements. The Wi-Fi CSI measurements dataset and corresponding belt data were made available for the validity and repeatability experiments. By providing appropriate measurement validity and repeatability metrics, care professionals can make informed decisions about the acceptability and generality of non-contact Wi-Fi sensing systems in measuring respiratory rate.