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  • 學位論文

結合簡訊功能之居家型心血管檢測系統研製

Design and Implementation of Home-Based Cardiovascular Inspecting System with SMS Alert

指導教授 : 李仁貴

摘要


血壓(BP)、心率變異性(HRV)與動脈硬化參數RPI為心血管疾病的三項重要指標,且都具有臨床上的指標性意義。若能觀察各項指標中所蘊含的生理意義,便能夠及早預防,大幅降低心血管疾病的發生率。 電子式血壓量測方式一般採用非侵入式的共振法量測。而心率變異性測量參數又分為時域及頻域分析兩大部分,本研究針對時域分析法進行實作,可藉由心跳間距(RRI)求出:平均心跳數(HR)、正常竇性心搏間期之標準差(SDNN)、所有相鄰R-R間距之相減差值的標準差(RMSSD),作為評估自主神經系統功能的量化指標。且能夠在利用共振法量測血壓與利用電極片量測心率變異性的同時,計算其R波與P波之時間差異,即RPI。再透過微控制器將量測到的生理指標參數進行儲存及顯示,並以簡訊(SMS)發送給聯絡人。 最後,為了確認本系統之準確性,分別與一般市售標準儀器做驗證比較,在血壓效能評估方面,與市售電子式血壓機之量測結果平均誤差在2%以內,在同步量測心率評估方面,統計共60次單次測量中,其總平均誤差與標準差為2.22 ±2.87BPM。在HRV與RPI方面,由於沒有標準儀器能夠進行驗證比較,因此本文僅針對不同受測者進行分析,若排除異常的受測者2,SDNN的個人最大標準差為±5.75,而RPI之個人最大標準差為±12.55。證實本研究的可行性。

並列摘要


Blood Pressure (BP), Heart Rate Variability (HRV), and R-P Interval (RPI) are three significant cardiovascular diseases markers with clinical meaning. We can take the precaution to decrease the incidence of the cardiovascular diseases through realizing the physiology meaning of these indexes. Electronic blood pressure gauges commonly use the resonance method, non-invasive measurement. The marker of HRV contains two parts: time and frequency analysis of domain. This research applies by time-domain analysis through the R-R Interval (RRI) working out these markers: Heart Rate (HR), Standard Deviation of all Normal to Normal intervals (SDNN), Root-Mean-Square of Successive normal to normal interval Differences (RMSSD), as the quantitative indicators of assessing the function of autonomic nervous system. When measuring the blood pressure and HRV with electrodes, we can calculate the difference of timing between R-Wave and P-Wave, which is RPI, at the same time. This research develops one kind of detection system of the cardiovascular diseases by non-invasive measurement, combining Short Message Service (SMS) function. The hardware is based on the microcontroller, supporting by the Physiological signal acquiring circuit, the signal processing circuit and the Global System for Mobile Communications (GSM) communication module, with the firmware calculating and saving the markers like blood pressure, heart rate, HRV, RPI, and so on, which can show these markers on the Liquid Crystal display Module (LCM) and control the GSM communication module to send these physiology markers to all the contacts which is set by the operator. Last, to confirm the system accuracy, we made verification and comparison with general standard equipment and got the inaccuracy within 2% of general electronic blood pressure machine in case of blood pressure efficacy assessment. In terms of synchronous heart rate measurement, the average error and standard deviation are within 2.22±2.87 BPM. Lack of standard equipment to verify and compare HRV and PRI, the research analysis different subjects ignoring the exceptional subject 2 and got the SDNN maximum of personal standard deviation is ±5.75 and the RPI maximum of personal standard deviation is ±12.55, the possibility of system can be approved.

參考文獻


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被引用紀錄


李宗昱(2014)。以穿戴式裝置研究音樂對於運動後心跳恢復率之影響〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2014.00194
黃世鋒(2013)。智慧型紡織品應用於臨床早期胸痛患者之預後分析〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2013.00309

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