Wireless transmission of vital body data and ambient magnetic field with wearable IoT device attached smart textile

H. Dalkılıç, Hakan Özdemir, Mehmet Hilal Özcanhan
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Abstract

The use of smart textiles is expanding. The wearer’s data are transferred to the Cloud by a mobile device, and shared with authorized parties. The study aims to monitor continuously and share our wearable smart textile’s heartbeat, body temperature, and the surrounding magnetic field data, providing early intervention before negative health events occur, or a high magnetic field is of concern to its wearer. A heartbeat sensor, a temperature sensor, and an ESP32 module with a built-in Hall effect sensor were integrated with a special conductive wire woven fabric. The data measured by the sensors were sent to the cloud server wirelessly by the ESP32. Our custom-made software analyzes the collected data with statistical methods, enabling the generation of predictions and early warnings. The generated reports can be sent to the smart textile user, doctors, and authorized third-party health institutions, and relevant magnetic field authorities. Our study shows that the body temperature reported by the designed smart textile has less than a 2.0% error compared with the actual value. On the other hand, the reported heartbeat has a 11.0% error, as it largely depends on sensor quality and placement location. In addition to these, continuous monitoring of the ambient magnetic field has been achieved with smart textiles. Our smart textile design sends the wearer’s body temperature, heartbeat, and surrounding magnetic field information to a cloud server automatically and wirelessly. Our custom-made software and mobile application use the data to provide early warnings and live reports on users’ mobile devices.
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利用附带智能织物的可穿戴物联网设备无线传输人体生命数据和环境磁场
智能纺织品的使用范围正在不断扩大。穿戴者的数据通过移动设备传输到云端,并与授权方共享。这项研究旨在持续监测和共享我们的可穿戴智能纺织品的心跳、体温和周围磁场数据,在发生负面健康事件或佩戴者担心高磁场之前提供早期干预。心跳传感器、温度传感器和内置霍尔效应传感器的 ESP32 模块与特殊的导电线编织物集成在一起。传感器测量到的数据通过 ESP32 无线发送到云服务器。我们定制的软件通过统计方法对收集到的数据进行分析,从而生成预测和预警。生成的报告可以发送给智能纺织品用户、医生和授权的第三方医疗机构以及相关磁场机构。我们的研究表明,设计的智能纺织品报告的体温与实际值相比误差小于 2.0%。另一方面,报告的心跳误差为 11.0%,这主要取决于传感器的质量和放置位置。除此之外,智能纺织品还实现了对环境磁场的连续监测。我们的智能纺织品设计能自动、无线地向云端服务器发送穿戴者的体温、心跳和周围磁场信息。我们定制的软件和移动应用程序利用这些数据在用户的移动设备上提供预警和实时报告。
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