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用于健康监测的超宽带噪声传感器研究。

Investigation of an Ultra Wideband Noise Sensor for Health Monitoring.

机构信息

Department of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.

Department of Space, Earth and Environment, Chalmers University of Technology, SE412-96 Gothenburg, Sweden.

出版信息

Sensors (Basel). 2020 Feb 14;20(4):1034. doi: 10.3390/s20041034.

Abstract

Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.

摘要

快速现场评估和早期干预是降低中风和创伤患者死亡率的关键,因此非常希望开发基于救护车的诊断和监测设备,以为医务人员提供额外的支持。我们开发了一种紧凑且低成本的超宽带噪声传感器,用于医疗诊断和院前环境中的生命体征监测。在这项工作中,我们演示了该传感器在呼吸和心跳监测方面的功能。在测试中,节拍器用于操纵呼吸模式,而使用商业心电图 (ECG) 设备获得心跳率参考值。在进行了十七次呼吸率检测测试中,有十六次成功检测到。结果还表明,使用开发的传感器可以准确地检测到心跳率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0720/7071039/7392277abce0/sensors-20-01034-g001.jpg

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