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  • 學位論文

新型無氣囊血壓量測裝置之開發

Development of the novel cuff-less blood pressure measurement device

指導教授 : 徐良育

摘要


高血壓,糖尿病,腦中風為國人主要的慢性疾病,三者中又以高 血壓最為世人隱憂。在臨床應用上,侵入性血壓量測裝置可紀錄連續 血壓訊號,雖精準卻不能在一般例行性檢查中進行。雖然非侵入式血 壓量測計可應用於一般檢查或居家環境中,可是目前市面上常見的非 侵入式血壓計主要缺點是必須搭配充氣幫浦而造成患者不適,在體積 方面也過於龐大而無法隨身攜帶。因此本研究建構一個新型無氣囊血 壓量測裝置,透過本研究設計矽膠血壓擷取裝置擷取血壓訊號,並以 8051F321 主控系統流程與運算,以達到可攜式即時系統的目的。 本研究針對十位正常年輕自願受測者利用本研究所研發之新型 無氣囊血壓量測裝置進行血壓量測,同時與床邊監視器(Spacelabs Medical, model 90367 ),血壓量測結果進行比對。發現不管是平均血 壓、收縮壓和舒張壓本系統所計算出的值都比床邊監視器來的高。包 括所有的量測結果時,兩系統在平均血壓、收縮壓以及舒張壓之相關 度分別為0.15、0.18 以及0.29。重新檢視各受測者的原始訊號發現, 當受測者在施壓過程中有加壓過快、加壓過慢或不符合震盪法特性的 血壓波形現象時,結果即會出現較大的差異性。將具有上述情形的量 測剔除後,相關度上收縮壓為0.16,平均血壓為0.16,舒張壓為0.38, 發現並無太大差別。進一步檢視,我們辨識出另一個可能干擾量測結 果的干擾因數,亦及量測過程中必須包括八個以上的有效血壓脈衝同 時這些血壓脈衝的封包必須符合震盪法之特徵。去除此類型的紀錄 後,收縮壓的相關度上升為0.71,平均血壓上升為0.60,舒張壓則上 升為0.41。 由上述現象發現如果能在使用規範上更嚴格的定義,則準確度能 有效的提升。上述的干擾因素均可以利用微處理機即時偵測剔除,如 此在實際運用時能提供較可靠的血壓量測。 雖然本系統仍有低準確性的困擾,如果能改進準確率的問題,希 望將來能取代傳統的電子血壓計應用於一般日常生活中。

並列摘要


Hypertension, diabetes and stroke are the three major chronic diseases of the people in Taiwan. In the clinical applications, the benefit of invasive blood pressure measurement is that it can record the continuous pressure pulse accurately. However, it can’t be used in routine examination. Although the non-invasive blood pressure measurement can be used at home and in routine examination, it causes discomfort during measurement due to the high air pressure applied by the air pump. Besides, it can not be easily carried around because of its size. For these reasons, this study purposes to construct a novel blood pressure measurement device without the air cuff. The proposed device measures blood pressure through a mechanism that is made of silicon rubber. The system consists of a 8051F321 to control the measurement flow and perform necessary computation. Thus, the final result is a portable real-time non-invasive blood pressure measurement system. In this study, blood pressure readings were obtained using the new system and bedside monitor (Spacelabs Medical, model 90367) from ten young volunteers. The results of mean pressure, systolic pressure and diastolic pressure from the new system were all higher than those from bedside monitor. Including all measured blood pressure readings, the correlation coefficient between these two system for mean, systolic and diastolic pressures were 0.15, 0.18 and 0.29, respectively. Re-exam the collected data, we found that when the speed of pressure application is too fast or too slow or the obtained blood pressure waveform characteristic did not coincide with typical oscillometric measurement, large variations appear. However, after exclude the above mentioned measurements, there is no significant improvement, the correlation coefficients of mean, systolic and diastolic pressures were 0.16, 0.16 and 0.38, respectively. Further examination, we identified one more factor that can influence the measurement result that is, during the measurement, there must included more than eight blood pressure pulses that conformed with oscillometric blood pressure measurement characteristic. After eliminating these recorded, the correlation coefficient increased to 0.71, 0.60 and 0.41 for diastolic pressure, mean pressure and systolic pressure, respectively. We can conclude from these results that the accuracy can be improved effectively by defining the user regulation more precisely. The above mentioned interference factors can be identified and eliminated by the microprocessor to provide a reliable blood pressure measurement in practical applications. In this study, low accuracy is still troubling the current system. If the accuracy can be improved by incorporating the foregoing findings, this new system may replace the traditional devices in the future.

參考文獻


[1] Carr, J. J., Brown, J. M., “Introduction to biomedical equipment
technology”, Prentice hall, fourth edition, 2001
[2] Webster, J. G., “Medical Instrumentation – Application and Design,
3rd edition”,John Wiley & Sons, Inc., pp.309, 1998
Pressure Waveforms in Humans”, Computers and Biomedical

被引用紀錄


翁旌賀(2014)。建構可攜式低功耗藍牙生理訊號量測裝置:以量測血壓為例〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201400769
王派竹(2013)。實現無氣囊錶帶式血壓量測裝置〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201301092
胡義騰(2013)。以智慧型手機為核心之新型無氣囊血壓量測〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201301043

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