摘 要
肥胖是一種常被忽略的慢性疾病，然而人體脂肪的分布及多寡，常受個人飲食、運動習慣及疾病的影響，因此若能每日測量並得知，進而改變習慣。在本論文提出自製的電阻抗量測系統包含馬桶座及手握電極把，當受測者在不同姿態及不同迴路區段下所量得的電阻抗值，並與標準儀器測得的FFM進行多變量回歸分析。從不同姿態及不同區段的量測可看出在RPI–RTI（右手與右大腿）的區段下其電阻值小於其他各區段之電阻值。經由得到的推估FFM值與不同姿勢間之影響，當姿態為上肢舉高呈現135度及180度時，具有較高的相關性，可得其平均R2為0.968。在不同量測區段方面，當RPI–RTI（右手與右大腿）之回歸相關性較佳於其他區段。而當姿態方面可看出身體向前傾的時候，所得的推估FFM值有較差的迴歸分析結果，得其平均R2約為0.946。
關鍵詞：生物電阻抗、馬桶座、姿態、非體脂肪重量Abstract
Obesity is an overlooked chronic disease. The distribution and amount of body fat are often affected by personal diet, exercise habits, and ailments. Hence, making daily measurements that could lead to a change of habit is meaningful work. This research proposes a self-made electrical impedance measurement system that includes a toilet seat and hand grip electrodes. When the participants have different postures and hand grips, the electrical impedance values generated, and the acquired electrical current at different segments was compared with standard FFM measurements and inspected through multivariate regression analysis. Results from measuring different postures and segments showed that the resistance value at the RPI–RTI (right-hand and right-thigh) segment is smaller than that of other segments. From the estimated FFM values obtained and the impact of different postures, it was observed that when the upper limb was elevated at 135 and 180 degrees, there was a high correlation, and the average R2 was 0.968. Regression correlations between RPI–RTI (right-hand and right-thigh) were better than the measured values for other segments. As for the posture, when the body leans forward, poorer estimated FFM values were obtained through regression analysis, with the average R2 being 0.946.
Keywords: Bioelectrical Impedance, Toilet Seat, Posture, Fat-free Mass