三通道血液容積波擷取系統之研製

Development of Three Channels Acquisition System for Blood Volume Pulse

陳昱廷(Yu-Ting Chen)

指導教授 ： 吳明川

國立臺北科技大學/機電學院/自動化科技研究所/碩士(2007年)

https://doi.org/10.6841/NTUT.2007.00147

摘要

本研究係研製紅外線發光二極體、光電晶體所組成之光學陣列感測模組，用於量測人體手腕橈骨動脈與末梢血管，屬於非侵入式生理訊號量測系統。依據脈搏、血液容積波、血液流速、腕溫這些生理訊號，來對正常人及疾病患者做訊號上的量化診斷分析。此系統最大特點就是可以在同時間點上觀看手腕、手指頭及腳趾頭三處量測部位的時域信號，作為另ㄧ種病症判別的參考資訊。本文係自行設計量測部位的血液流速演算法，將提供給醫師及患者，做為心血管疾病或者糖尿病的診斷依據。
對於訊號的處理方面採用資料擷取卡，八組的輸入信號進行多通道與類比轉換數位訊號處理。再將所得血流波形訊號，採用快速傅立葉轉換，將訊號由時域轉換至頻域，能有效地從時域中擷取重要人體生理資訊進行分析診斷。
另外近紅外線發射光源在各種環境的使用情況下，對於本系統在進行量測時的影響，將以不同的環境參數對系統作測試探討，藉以瞭解近紅外線發射光源的工作特性。

關鍵字

橈骨動脈 ； 血液容積波 ； 血液流速 ； 快速傅立葉轉換

並列摘要

This research develops an optical array module, that employs the source of infrared-LED and the detector of PT (Phototransistor) to measure human’s bio-signal from wrist and peripheral. This is a non-invasive measuring system. On the base of BVP (Blood Volume Pulse), blood flow velocity, temperature of wrist to diagnose analytically, that quantified normal people and patient’s bio-signal. And we can observe the time-domain signal with wrist, finger and toe simultaneously. The 3 time-domain signals can be a better method to analyze symptoms of a disease. This research designs a simple velocity algorithm of blood flow on measuring position. The data could be diagnosed for doctor and patient to judge weather cardiovascular diseases/diabetes or not.
On account of six input signals, this research choose DAQ card (Data Acquisition card) to process multi-channel and analog-to-digital. The blood flow wave is processed with FFT (Fast Fourier Transform) to transfer the signals from time-domain to frequency-domain to effectively obtain significant human’s physiology information in time-domain.
Near-infrared emitting light source to this research measured signal in different environment, the signals must be influenced. We supposed some situations to test this system measuring. Above that result, let us know near-infrared emitting light source properties in its working process.

並列關鍵字

Radial Artery ； BVP (Blood Volume Pulse) ； Blood Flow Velocity ； FFT (Fast Fourier Transform)

參考文獻

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