以現場可程式邏輯閘陣列為基礎的多頻率生物電阻抗量測系統

在衛福部公布的資料中顯示，2014惡性腫瘤已經連續33年居十大死亡因素首位(衛服部，2014)，惡性腫瘤已經嚴重威脅國人健康。惡性腫瘤早期症狀不明顯，至發現往往已經耽誤治療時機，加上檢測與治療方式通常為侵入式，以上種種往往造成患者身心折磨。有些惡性腫瘤屬表層細胞病變，例如:口腔癌、皮膚癌等，其實已有一些技術可以開發成以非侵入式之檢測方式，例如本研究所用的「生物電阻抗分析技術」，若開發成檢測系統，可以準確偵測表層細胞是否有癌變，因此本研究旨在開發能夠自動偵測表層細胞病變之非侵入式檢測系統，以期能早期發現、治療，降低病患痛苦與惡性腫瘤死亡率。本研究架構設計為: 用Verilog來產生正弦波與控制ADC，使用DAC轉換成類比訊號，以及用恆電流電路、生物電阻抗分析電路來完成本系統。

關鍵字

惡性腫瘤；癌症；非侵入式檢測；偵測表層細胞病變；生物電阻抗分析技術；現場可程式邏輯閘陣列(FPGA)

並列摘要

In the data that Ministry of Health and Welfare had disclosed, malignant tumor had continuously taken the first place in the top ten leading causes of death for the 33th years until 2014. Malignant tumor has threatened our country seriously. The early symptoms of malignant tumor aren’t quite obvious that the treatment often be delayed when it’s found, furthermore, the detections and the cure ways are usually intrusive, these usually lead to torments on the patients physically and mentally. Some malignant tumor are surface cytopathic, oral cancer and skin cancer for instances. There’re actually some technique that can be developed into non-intrusive detection techniques, the bioelectrical impedance analysis technology of our laboratory, for example, is able to detect whether there’re canceration in surface cell if the technique has been developed into detective systems. Therefore, this study focus on developing non-intrusive detective systems that can automatically detect surface cytopathic to find and cure malignant tumor in the early stage, lower patient’s pain and the death rate. Here’s the structure of this study: use Verilog to generate sinusoidal waves and control ADC, use DAC to transfer into analog signals and complete the system by Voltage Controlled Current Source and bioelectrical impedance analysis circuits.