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基于RT-Thread的便攜式健康監(jiān)測(cè)儀的設(shè)計(jì)與實(shí)現(xiàn)

發(fā)布時(shí)間:2018-12-26 14:27
【摘要】:亞健康和慢性病人群比例不斷增加使得人們?cè)絹碓疥P(guān)注自身的健康狀況,隨時(shí)隨地健康監(jiān)測(cè)、有效的健康管理成為人們的迫切需求?纱┐髦悄鼙O(jiān)測(cè)設(shè)備集成微小型化傳感器、智能信息處理模塊及無線通訊模塊,可嵌入人們?nèi)粘4┐鞯囊挛锘蚺屣椫?或作為獨(dú)立佩飾,實(shí)現(xiàn)人體運(yùn)動(dòng)生理信息的檢測(cè)、分析、暫存和遠(yuǎn)程無線傳輸,是現(xiàn)代健康管理系統(tǒng)的重要構(gòu)成部分。因此,研發(fā)一種既滿足用戶隨身健康參數(shù)監(jiān)測(cè)的需求,又能將用戶健康參數(shù)上傳健康管理服務(wù)器,獲取健康干預(yù)方案,從而實(shí)現(xiàn)閉環(huán)健康管理的便攜式健康終端設(shè)備具有重要意義。本文的主要工作包括:(1)通過對(duì)適合家庭、個(gè)人使用的便攜式醫(yī)療電子設(shè)備應(yīng)用需求和本課題組健康服務(wù)系統(tǒng)業(yè)務(wù)需求的分析,提出一種基于RT-Thread實(shí)時(shí)操作系統(tǒng)的便攜式健康監(jiān)測(cè)儀的設(shè)計(jì)方法,采用標(biāo)準(zhǔn)模塊和獨(dú)立設(shè)計(jì)相結(jié)合的方式,完成了心率測(cè)量模塊、體溫測(cè)量模塊、能耗監(jiān)測(cè)模塊、睡眠監(jiān)測(cè)模塊、數(shù)據(jù)存儲(chǔ)模塊、GSM/GPRS模塊、電源管理模塊和人機(jī)交互模塊等功能模塊的設(shè)計(jì)。(2)采用微小型的傳感器分別對(duì)人體心電信號(hào)、紅外溫度信號(hào)、加速度信號(hào)進(jìn)行采集,實(shí)現(xiàn)了心率測(cè)量、體溫測(cè)量、計(jì)步及能耗監(jiān)測(cè)等功能。將健康參數(shù)上傳健康管理服務(wù)器,從服務(wù)器端獲取個(gè)性化健康干預(yù)方案,生成健康任務(wù);用戶實(shí)施健康任務(wù),對(duì)執(zhí)行情況進(jìn)行跟蹤監(jiān)測(cè)和評(píng)估,可實(shí)現(xiàn)檢測(cè)-評(píng)估-干預(yù)-再檢測(cè)的閉環(huán)健康管理體系。(3)對(duì)關(guān)鍵檢測(cè)指標(biāo)心率、體溫、步數(shù)的測(cè)量準(zhǔn)確性進(jìn)行驗(yàn)證,對(duì)45名志愿者進(jìn)行心率測(cè)量對(duì)比實(shí)驗(yàn),通過Bland-Altman方法分析表明45個(gè)點(diǎn)只有一個(gè)點(diǎn)落在95%LoA外;與水銀溫度計(jì)的溫度測(cè)量進(jìn)行對(duì)比,測(cè)量平均誤差為0.16℃;在快、中、慢三種不同速度下對(duì)計(jì)步的準(zhǔn)確性進(jìn)行驗(yàn)證,其準(zhǔn)確率可達(dá)99.5%。結(jié)果表明,本文設(shè)計(jì)的健康監(jiān)測(cè)儀能夠較準(zhǔn)確的測(cè)量心率、體溫、能耗等健康參數(shù),可與健康管理服務(wù)器數(shù)據(jù)交互,為實(shí)現(xiàn)檢測(cè)-評(píng)估-干預(yù)-再檢測(cè)的閉環(huán)健康管理模式提供了一種可靠的解決方案。
[Abstract]:The increasing proportion of people with sub-health and chronic diseases makes people pay more and more attention to their own health status, monitoring health anytime, anywhere, and effective health management become the urgent needs of people. Wearable intelligent monitoring device integrates micro-miniaturization sensor, intelligent information processing module and wireless communication module, which can be embedded in clothing or ornaments that people wear everyday, or as independent ornaments, so as to realize the detection and analysis of human body motion and physiology information. Temporary storage and remote wireless transmission are important components of modern health management system. Therefore, it can not only meet the needs of monitoring the user's health parameters, but also upload the user's health parameters to the health management server to obtain the health intervention scheme. Therefore, it is of great significance to realize the closed-loop health management portable health terminal equipment. The main work of this paper is as follows: (1) through the analysis of the application requirements of portable medical and electronic devices suitable for family and personal use and the business needs of our group's health service system, This paper presents a design method of portable health monitor based on RT-Thread real-time operating system. By combining standard module and independent design, the heart rate measurement module, temperature measurement module and energy consumption monitoring module are completed. The design of function modules such as sleep monitoring module, data storage module, GSM/GPRS module, power management module and man-machine interaction module. The acceleration signal is collected, and the functions of heart rate measurement, temperature measurement, step calculation and energy consumption monitoring are realized. The health parameters are uploaded to the health management server and the individualized health intervention scheme is obtained from the server to generate the health task. The user implements the health task, carries on the follow-up monitoring and the appraisal to the implementation situation, may realize the detection-assessment-intervention-re-detection closed loop health management system. (3) for the key test indicator heart rate, body temperature, The accuracy of step measurement was verified. The heart rate was measured in 45 volunteers. The results of Bland-Altman analysis showed that only one point fell outside 95%LoA. Compared with the temperature measurement of mercury thermometer, the average error is 0.16 鈩,

本文編號(hào):2392248

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