智慧型類神經網路設計之新型血壓計

Application the intelligent Neural Network to Design the Novel Blood Pressure Monitor

莊爵譽(Chueh-Yu Chuang)

指導教授 ： 吳崇民

崑山科技大學/工程學院/電子工程研究所/碩士(2011年)

摘要

在近代的預防醫學中，各種不同的生理參數已廣泛應用於各種疾病的預防，以及疾病初期的偵測，其中評估心血管疾病發生的機率常透過每日的血壓量測來觀察。現今血壓量測方法，大多透過氣泵對腕帶施加壓力，量測時手臂遭腕帶壓迫而有不舒服的感覺，易造成受測者緊張，導致血壓量測上之誤差，且無法做即時血壓監測。
心電圖中各波代表了心臟運作的各種狀態，其中也包含有血壓的相關訊息，因此本研究擬將從心電圖訊號中解析出血壓之相關特性。本研究將發展新式之非侵入式血壓量測技術，設計智慧型類神經網路演算法，以心電圖之特性參數計算血壓值，此新型血壓機稱為心電血壓機。讓患者在醫院或自家生活中，都可以隨時監測自我血壓，除了改善量測時壓力所造成的不適感外，更可進行長時間的連續血壓監測，掌握身體狀況，以避免意外的發生。

關鍵字

血壓 ； 心電圖 ； 類神經網路

並列摘要

Various physiological parameters have been widely used for diseases, prevention and detection, which can observe the occurrence of cardiovascular diseases, through daily measurement of blood pressure. Currently, the most common blood pressure measurement method records the pressure on the wrist. The subject might feel uncomfortable and tension of pressure on the arm that it might lead to the measurement error of blood pressure. Electrocardiogram (ECG) represents the electrical activities of the heart functions, which also contains blood pressure-related information. This research in an attempt to extract the related features of blood pressure from the ECG signal. This research developed a new non-invasive blood pressure measurement technology that utilizes the intelligent neural network algorithms to calculate the blood pressure value from the parameters of ECG. The designed blood pressure measurement approach is called the ECG-blood pressure machine. The proposed approach alleviates the errors caused by discomfort, which can provide a feasibility to continuously monitor blood pressure in a less stressful condition.

並列關鍵字

Blood Pressure ； Electrocardiogram ； Artificial nerual network

參考文獻

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