期刊文献+

柔性穿戴技术应用于校园运动心脏骤停的可行性分析

Feasibility analysis of flexible wearable technology applied to exerciserelated sudden cardiac arrest in school
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摘要 本文旨在整合柔性穿戴技术在运动监测中的应用进展,评估该技术在预测校园运动心脏骤停(E-SCA)的可行性。基于文献综述的整合性框架,通过收集、整合、分析中英文数据库中高质量期刊文献,参考柔性穿戴技术在医疗领域的应用,探讨其引入学校体育医疗监督的可行性。研究发现:柔性穿戴传感器的监测技术能够满足学校体育医疗监督需求,通过分析运动生化信号和生理指标,实时反馈学生心脏功能健康状况;将柔性穿戴技术与机器学习技术相结合可有效预测E-SCA发生,对紧急情况即时预警,便于体育教师和学校体育医务人员及时介入,从而降低青少年学生E-SCA的发生率和致死率;与人工智能算法相结合,可建制青少年学生个性化健康档案,以利学校部门制定更为有效的体育教育与健康促进计划。 This study aims to integrate advances in the application of flexible wearable technology in exercise monitoring and to assess the feasibility of the technology in predicting campus exerciserelated sudden cardiac arrest(E-SCA).Based on the integrative framework of literature review,feasibility of introducing flexible wearable technology into the medical supervision of school sports is explored by collecting,integrating,and analyzing highquality journal literature from Chinese and English databases with reference to the application of flexible wearable technology in the medical field.The study finds that the sensor is capable of realtime feedback cardiac function and health status by analyzing biochemical signals and physiological indicators during exercise,Combining flexible wearable technology with machine learning technology can effectively predict the occurrence of E-SCA,provide instant warning of emergencies,and facilitate the timely intervention of physical education teachers and school physical education medical personnel,thus reducing the incidence and lethality of E-SCA among adolescent students.Furthermore,by employing artificial intelligence algorithms,personalized health profiles can be developed for students,aiding schools in crafting more tailored physical education and health promotion programs.
作者 王雨杰 居方圆 WANG Yujie;JU Fangyuan(School of Physical Education,Yangzhou University,Yangzhou 225127,China)
出处 《传感器与微系统》 CSCD 北大核心 2024年第11期1-5,共5页 Transducer and Microsystem Technologies
基金 江苏省社会科学基金资助项目(23TYC003) 扬州大学校级教改项目(YZUJX2021-c8)。
关键词 柔性穿戴技术 运动心脏骤停 体医融合 体外监测 机器学习 flexible wearable technology exerciserelated sudden cardiac arrest sportsmedicine integration invitro monitoring machine learning
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