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Title: | 應用於連續血壓量測之脈波感測系統與血壓預測之演算法 A Continuous Blood Pulse Wave Monitoring System and Blood Pressure Estimation Algorithm |
Authors: | 譚馥 Fu Tan |
Advisor: | 楊燿州 Yao-Joe Yang |
Keyword: | 奈米碳管,聚二甲基矽氧烷(PDMS),導電高分子,尼龍濾膜,壓力感測陣列,拉力感測器,動脈張力量測法,連續脈波量測,血壓推算演算法, Carbon nanotubes,polydimethylsiloxane (PDMS),conductive polymer,nylon membrane filter,tactile sensor,tonometric method,continuous blood pulse wave measurement,blood pressure estimation algorithm, |
Publication Year : | 2018 |
Degree: | 碩士 |
Abstract: | 本研究開發了一應用於連續脈波量測之感測系統並提出了一血壓預測之演算法。感測系統包含一3 x 1 壓力感測陣列以及一拉力感測器。壓力感測陣列用於連續脈波訊號之量測,而拉力感測器是用於量測將壓力感測器固定於使用者手腕之綁帶鬆緊值。此拉力感測器主要的功能為確保使用者於舒適的量測狀態下取得最佳的脈波訊號。壓力感測陣列與拉力感測器皆以高分子基材做為感測元件,此高分子材料由奈米碳管與PDMS均勻混和並以尼龍濾膜作為模具轉印出具有微結構之導電高分子。藉由將3 x 1壓力感測陣列放置於橈動脈附近,可以有效率地確保1至2個感測單元精準地位於橈動脈上。透過實驗證明壓力感測陣列可清楚且準確地量測到連續脈波訊號,脈波訊號基線飄移與高頻雜訊也可透過訊號處理解決。本研究使用之訊號處理方法包含希爾伯特-黃轉換與離散小波轉換。基於動脈張力量測法,血壓可由脈波訊號推估而得。本研究以理論模型為基礎與機器學習兩種方式將量測得之脈波訊號進行血壓的推導。從推導結果可知,本研究使用之兩種推導血壓之方式可順利完成脈波與血壓之推估。 This work presents a portable sensing system for continuous blood pressure monitoring as well as the algorithm for estimating blood pressure. The system consists of a 3×1 tactile sensing array and a tension sensor. The tactile sensing array is used for measuring blood pulse wave signals. The tension sensor is employed for measuring the tension in the strap, which is used for fixing the tactile sensing array on the wrist of a patient. The primary function of the tension sensor is to ensure the operation conditions are optimal for acquisition of signals as well as physical comfort of users. Polymer-based sensing pressure elements, which are the key material for the tactile sensing array and the tension sensor, was patterned with microdome structures by using a nylon membrane filter as the mold. By arranging the pressure sensing elements in a 3×1 linear array, the effort to align the device during measurement can be significantly reduced, because one or two of the sensing elements would be located at the suitable position for effective detection of blood pulse wave signals. Experimental results show that continuous blood pulse wave signal can be tracked by the proposed sensing array. The drift and the high frequency noise can be successfully eliminate by applying Hilbert Huang Transform (HHT) and Discrete Wavelet Transform (DWT). Blood pressure values were also estimated by using the tonometric model-based model and the machine learning algorithm. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78789 |
DOI: | 10.6342/NTU201802308 |
Fulltext Rights: | 未授權 |
metadata.dc.date.embargo-lift: | 2024-07-01 |
Appears in Collections: | 機械工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-107-2.pdf Restricted Access | 7.02 MB | Adobe PDF |
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