中 文 摘 要
當我們探討人體組織成份的時候,BIA是經常廣泛使用在非脂肪面積(FFM)和脂肪面積(FM)的計算。體脂肪在人體是一個重要參數,它可以幫助我們了解人們的健康和疾病。此研究的目的在於發展一套區段式人體組織量測系統和建立國人的生醫阻抗資料庫。量測系統包含量測阻抗、手臂的長度和周長、人體體重和皮膚與電極間溫度變化。被量測的資料透過RS232介面傳輸並藉由LabVIEW顯示在PC上。這些資料將以文字檔的型式儲存在硬碟並同時建立生醫阻抗資料庫。生醫阻抗資料庫藉由EXCEL、SPSS和FuzzyTECH軟體進行線性迴歸及模糊分析。最後建立生醫阻抗與人體測量學相關的人體組織成份計算公式。另外與DEXA比較和分析線性迴歸與模糊迴歸分析的平均誤差。線性迴歸分析為3.98,模糊迴歸分析為1.83。溫度量測在2分鐘後上升0.03℃~0.06℃當室溫23℃~27.7℃體表溫度28.4℃~32.7℃下,溫度與區段阻抗值在量測過程中變化非常小。

ABSTRACT
Bioelectrical impedance analysis (BIA) is often widely used for the estimation of fat free mass (FFM) and fat mass (FM) when studying body composition. Body fat is an important parameter in human body, it can help us understand human health and diseases. The purposes of this study are to develop the segmental body composition measurement system and establish Chinese bioimpedance database. The measurement system contains impedance measurement, length and circumference measurement of the arms, human body weight measurement and the measurement of thermal variation between the skin and the electrode. These measured data is transmitted via RS232 and displayed to PC by LabVIEW. These data is saved the text file format to hard disk and established bioimpedance database at the same time. This bioimpedance database is applied to linear regression and fuzzy analysis by the software of Excel, SPSS and FuzzyTECH. Finally, we can find the estimation formulas for body composition related to bioimpedance and anthropometry. In addition, the average errors of linear regression analysis and fuzzy regression analysis are compared to DEXA and analzed. Linear regressin analysis is 3.98 and fuzzy regression analysis is 1.83. The temperature measurement after two minutes ascend 0.03℃~0.06℃ under room temperature(23℃~27.7℃) and skin temperature(28.4℃~32.7℃). The variations of thermal and segmental impedance are very small in measurement.

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