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用于儿童肺炎检测的多模态便携式呼吸频率监测设备

Multi-Modal Portable Respiratory Rate Monitoring Device for Childhood Pneumonia Detection.

作者信息

Khan Sadeque Reza, Wang Xiaohan, Jiang Tiantao, Ju Wei, Radacsi Norbert, Kadir Muhammad Abdul, Rabbani Khondkar Siddique-E, Cunningham Steve, Mitra Srinjoy

机构信息

School of Engineering and Physical Sciences, Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh EH14 4AS, UK.

School of Engineering, Institute of Integrated Micro and Nano Systems, The University of Edinburgh, Edinburgh EH9 3FF, UK.

出版信息

Micromachines (Basel). 2023 Mar 23;14(4):708. doi: 10.3390/mi14040708.

Abstract

Accurate assessment of Respiratory Rate (RR) is the most important mechanism in detecting pneumonia in low-resource settings. Pneumonia is a disease with one of the highest mortality rates among young children under five. However, the diagnosis of pneumonia for infants remains challenging, especially in low- and middle-income countries (LMIC). In such situations, RR is most often measured manually with visual inspection. Accurate RR measurement requires the child to remain calm without any stress for a few minutes. The difficulty in achieving this with a sick child in a clinical environment can result in errors and misdiagnosis, even more so when the child is crying and non-cooperating around unfamiliar adults. Therefore, we propose an automated novel RR monitoring device built with textile glove and dry electrodes which can make use of the relaxed posture when the child is resting on the carer's lap. This portable system is non-invasive and made with affordable instrumentation integrated on customized textile glove. The glove has multi-modal automated RR detection mechanism that simultaneously uses bio-impedance and accelerometer data. This novel textile glove with dry electrodes can easily be worn by a parent/carer and is washable. The real-time display on a mobile app shows the raw data and the RR value, allowing a healthcare professional to monitor the results from afar. The prototype device has been tested on 10 volunteers with age variation of 3 years to 33 years, including male and female. The maximum variation of measured RR with the proposed system is ±2 compared to the traditional manual counting method. It does not create any discomfort for either the child or the carer and can be used up to 60 to 70 sessions/day before recharging.

摘要

在资源匮乏地区,准确评估呼吸频率(RR)是检测肺炎的最重要机制。肺炎是五岁以下幼儿中死亡率最高的疾病之一。然而,婴儿肺炎的诊断仍然具有挑战性,尤其是在低收入和中等收入国家(LMIC)。在这种情况下,RR最常通过目视检查手动测量。准确测量RR要求儿童在几分钟内保持冷静,没有任何压力。在临床环境中,让生病的孩子做到这一点很困难,可能会导致错误和误诊,当孩子在陌生成年人周围哭闹且不配合时更是如此。因此,我们提出一种新型的自动化RR监测设备,它由纺织手套和干电极制成,可以利用孩子躺在护理人员腿上时的放松姿势。这个便携式系统是非侵入性的,由集成在定制纺织手套上的经济实惠的仪器制成。该手套具有多模式自动RR检测机制,同时使用生物阻抗和加速度计数据。这种带有干电极的新型纺织手套可以很容易地由父母/护理人员佩戴,并且可清洗。移动应用程序上的实时显示会展示原始数据和RR值,使医疗专业人员能够在远处监测结果。该原型设备已在10名年龄在3岁至33岁之间的志愿者(包括男性和女性)身上进行了测试。与传统的手动计数方法相比,所提出系统测量的RR最大变化为±2。它不会给孩子或护理人员带来任何不适,并且在充电前每天最多可使用60至70次。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/10144858/a1f766d98ccb/micromachines-14-00708-g001.jpg

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