Liu Wenshu, Zhang Jinmei, Li Chunyu
School of Design, South China University of Technology, Guangzhou University Guangzhou, Guangdong, China.
Electrocardiogram Department, Affiliated Hospital of Jining Medical University Jining, Shandong, China.
Am J Transl Res. 2023 Nov 15;15(11):6413-6424. eCollection 2023.
The coronavirus disease epidemic has largely restricted the traditional offline medical treatment model. With increasing requirements for virtual medical assistance, the design of smart medical apparel has received more attention.
In this study, we designed electrocardiography (ECG)-monitoring smart clothing based on the Holter system after identifying and analyzing the needs of patients and doctors. This clothing is a wearable device that integrates monitoring and remote diagnosis, building a general network platform to support remote data transfer and sharing and online interactive auxiliary diagnosis. Creating wearable smart clothing includes multiple dimensions, such as ECG module design, clothing structural design, and a real-time monitoring app. This innovative technology is achieved by intelligently integrating limb lead wires, conductive fiber fabrics, lead interfaces, and electrode signal storage receivers, all based on the human body's sensing conduction principle. Wearable clothing that can monitor ECG in real time is designed and developed by intelligently integrating limb lead wires, conductive fiber fabrics, lead interfaces, and electrode signal storage receivers by using the human body-sensing conduction principle of real-time ECG monitoring.
Wearable real-time ECG-monitoring clothing can help patients achieve fast virtual medical care and auxiliary diagnosis and solve the design issues associated with electrode signal storage receivers. In addition, such clothing can be applied to automatically monitor groups at high risk of heart disease.
Our design not only meets the accuracy requirements of traditional medical diagnosis but also combines traditional real-time ECG monitoring and smart clothing, providing new options for the daily needs of patients and doctors.
冠状病毒病疫情在很大程度上限制了传统的线下医疗模式。随着对虚拟医疗辅助需求的增加,智能医疗服装的设计受到了更多关注。
在本研究中,我们在识别和分析患者及医生的需求后,基于动态心电图系统设计了心电图监测智能服装。这种服装是一种集成了监测和远程诊断功能的可穿戴设备,构建了一个通用网络平台以支持远程数据传输与共享以及在线交互式辅助诊断。制作可穿戴智能服装涉及多个维度,如心电图模块设计、服装结构设计以及实时监测应用程序。这项创新技术是通过基于人体传感传导原理,将肢体导联线、导电纤维织物、导联接口和电极信号存储接收器进行智能集成来实现的。利用实时心电图监测的人体传感传导原理,通过智能集成肢体导联线、导电纤维织物、导联接口和电极信号存储接收器,设计并开发出能够实时监测心电图的可穿戴服装。
可穿戴实时心电图监测服装有助于患者实现快速的虚拟医疗护理和辅助诊断,并解决与电极信号存储接收器相关的设计问题。此外,这种服装可应用于自动监测心脏病高危人群。
我们的设计不仅满足传统医学诊断的准确性要求,还将传统的实时心电图监测与智能服装相结合,为患者和医生的日常需求提供了新的选择。