物联网辅助的哮喘症状监测与日常活动分析  

IoT-Assisted Asthma Symptom Monitoring and Daily Activity Analysis

作　　者：江楚悦 黄海超[1] 江河[2] 

机构地区：[1]天津中医药大学护理学院,天津301617 [2]太原学院,山西太原030032

出　　处：《工业控制计算机》2025年第4期25-27,共3页Industrial Control Computer

基　　金：2024天津中医药大学科技创新基金国家级一般项目(202410063006);山西省高等学校教学改革创新项目(J20231425);全国高等学校计算机教育研究课题(SXCF202411)。

摘　　要：提出了一种基于物联网的哮喘监测系统,该系统集成了多种传感器,能够实时监测哮喘患者的关键生理参数。系统利用无线传输模块将收集到的数据发送至云平台,通过数据分析算法及时检测哮喘发作的可能性。此外,系统还通过加速度计监测患者的日常活动,以评估运动对哮喘症状的影响。实验结果表明,该系统在哮喘患者的远程监测和管理中显示出较高的准确性和可靠性。通过持续监测和分析患者数据,系统能够帮助医疗专业人员制定个性化的治疗方案,并为哮喘患者提供了更加安全、便捷的健康监护手段。This paper proposes an IoT-based asthma monitoring system that integrates multiple sensors to achieve real-time monitoring of key physiological parameters in asthma patients.The system uses a wireless transmission module to send the collected data to a cloud platform,where data analysis algorithms can promptly detect the possibility of asthma attacks.In addition,the system also takes into account the user's activity level by monitoring the patient's daily activities with an accelerometer to assess the impact of exercise on asthma symptoms.The experimental results show that the system has high accuracy and reliability in the remote monitoring and management of asthma patients.By continuously monitoring and analyzing patient data,the system helps medical professionals formulate personalized treatment plans and provides asthma patients with a safer and more convenient means of health monitoring.

关 键 词：物联网(IoT) 哮喘监测 传感器 呼吸率 压力监测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]