生物醫療科技一直與人類生活息息相關並且扮演著很重要的角色,本論文研究主要是針對生物醫療科技提出一個低成本且應用性強的微控制器應用架構,可應用於細胞膜電穿孔技術與人體細胞的阻抗量測。 由於高壓電穿孔技術若應用在人體細胞做不可逆反應時,需要搭配脈波寬度調變技術(PWM)產生一個脈波時間寬度極短的脈波,避免過度傷害其他正常的細胞。本研究使用微處理搭配電路可產生一個脈波時間寬度約在20 ns∼135 ns的極短脈波,可有效應用於減少電穿孔技術造成人體正常細胞的傷害時間。 本論文另一個研究使用非侵入式的方式量測人體細胞的阻抗,並且做二維灰階圖形化輸出,達到快速分辨正常細胞與病變細胞的目的。本研究使用微處理搭配電路可產生一個正弦波定電流源,並透過多組電阻與電容並聯模擬人體正常細胞與病變細胞阻抗,再將取樣量測數據經由電腦做計算出人體細胞阻抗,最後再利用labview虛擬儀表程式將人體細胞區分為灰色與白色,灰色部分代表高阻抗的人體正常細胞,白色部分則代表低阻抗的人體病變細胞,藉由灰與白可做出多組灰階二維圖像並借此判斷正常細胞與病變細胞的差異。
Bio-medical technology has been closely linked with human life and plays a very important role in this paper is to propose a low-cost research and the application of a strong framework for microcontroller applications in biomedical science and technology can be applied to human cells impedance measurement. If the application due to high-voltage perforation technique in human cells does not reverse seasonal need with pulse width modulation (PWM) to produce extremely short pulse duration of the pulse wave, avoid excessive damage to other normal cells. In this study, with the use of micro-processing circuit may generate a pulse duration of about 20 ns ~ 135 ns pulse is very short, which can effectively be applied to cause electroporation reduce damage to normal cells of human time. In this paper, another study using a non-invasive way to measure the impedance of human cells, and made a two-dimensional grayscale graphical output, to quickly distinguish between normal cells and diseased cells purposes. This study uses micro-processing circuit can generate a sine wave with a constant current source, and through multiple sets of resistors and capacitors in parallel simulation of normal human cells and diseased cells impedance, and then do the sample measured data via computer to calculate the impedance of human cells, and finally the use of virtual instrumentation program will be divided into a gray area of human cells and white, gray part represents the high impedance of normal human cells, the white part of the body represents a low impedance diseased cells, with gray and white gray scale can make multiple sets of two-dimensional map like and to determine differences between normal cells and diseased cells.