节点文献
人体生物信息的实时监测与传输技术研究
Research on Real-time Monitoring and Transmission Technology of Human Biological Information
【作者】 苏子美;
【导师】 姚俊宜;
【作者基本信息】 哈尔滨理工大学 , 通信与信息系统, 2021, 硕士
【摘要】 近年来随着人们不规律的生活饮食习惯,人们长期处于亚健康状态,导致了心脑血管疾病的突发几率也逐渐增加。为此本论文设计了一个通过实时检测人体生物信息并且将采集到的数据通过蓝牙模块传输到移动手机端,手机端经过预处理将数据发送至服务器的系统。在服务器端对信息进行处理,进而用来预测心血管系统健康风险,保证心血管系统的健康。本论文给出了基于脉搏波和六轴姿态传感器的人体生物信息实时监测系统,主要包括脉搏波采集、姿态采集、手机移动端以及脉搏波和姿态数据的处理。经由脉搏波和姿态传感器采集到的数据经由蓝牙传输到手机移动端。手机移动端通过WIFI或移动数据将数据信息传输到服务器进行数据的处理和心血管系统健康风险的预测进而判断心血管系统是否健康。心血管系统健康风险预测的核心思想就是通过脉搏波来监测心血管系统运行是否处于平稳状态以及当脉搏波发生突变时判断是否存在心血管疾病突发风险。本论文的主要实现了对人体脉搏波及姿态信息的24小时连续监测、传输及监测信息的处理,为实现心血管系统健康风险预测奠定了基础。与目前心血管健康预防主要依靠大型医疗器械的定期检查,通过医生对检查结果的分析得出结论相比。在不影响人们生活起居条件下实现对人体生物信息的连续采集与实时传输是本文的特色之处。除此之外,加入了姿态传感器对人体运动状态的识别更是保证了人体生物信息的准确性。
【Abstract】 In recent years,with unscientific living habits,people have been in a sub-health state for a long time,which has led to an increasing probability of sudden cardiovascular and cerebrovascular diseases.For this reason,this paper designs a system that detects human biological information in real time and transmits the collected data to the mobile phone through the Bluetooth module,and the mobile phone sends the data to the server after preprocessing.The information is processed on the server side and then used to predict the health risks of the cardiovascular system and ensure the health of the cardiovascular system.This paper presents a real-time human biological information monitoring system based on pulse wave and six-axis attitude sensor,which mainly includes pulse wave collection,posture collection,mobile phone mobile terminal,and pulse wave and posture data processing.The data collected via the pulse wave and posture sensor is transmitted to the mobile terminal of the mobile phone via Bluetooth.The mobile terminal of the mobile phone transmits data information to the server through WIFI or mobile data for data processing and cardiovascular system health risk prediction to determine whether the cardiovascular system is healthy.The core idea of cardiovascular system health risk prediction is to use pulse waves to monitor whether the cardiovascular system is running in a stable state and to judge whether there is a sudden risk of cardiovascular disease when the pulse wave changes.This paper mainly realizes the 24-hour continuous monitoring,transmission and processing of monitoring information of the human pulse wave and posture information,which lays the foundation for realizing cardiovascular system health risk prediction.Compared with the current cardiovascular health prevention mainly relies on regular inspections of large-scale medical devices,and conclusions drawn from the analysis of the inspection results by doctors.The feature of this paper is to realize the continuous collection and real-time transmission of human biological information without affecting people’s daily life.In addition,the addition of the posture sensor to recognize the human body motion state ensures the reliability of cardiovascular system health risk prediction.
【Key words】 Pulse wave; posture information; cardiovascular disease; Gaussian fitting;