|Abstract: ||在本研究中採用近似熵(ApEn)與複雜度 C 兩種非線性的演算法，分析動脈血壓波的複雜度。共有14位正常人與19位被醫師診斷為糖尿病神經病變的患者參加此實驗。動脈血壓波是經由經指連續血壓脈搏計（Finapres, Netherland 2300）連續擷取受測者別在平躺與搖起的脈波訊號。正常人的近似熵平均值無論在平躺與搖起時都小於糖尿病患者(正常人平躺: 0.17±0.05, : 糖尿病人平躺0.34±0.26, p<0.05; 正常人搖起: 0.27±0.06, 糖尿病人搖起: 0.36±0.14, p<0.05)。但對於C 值的結果確是相反的(正常人平躺: 0.26±0.05, 糖尿病人平躺 : 0.16±0.05, p<0.01; 常人搖起: 0.27±0.03, 糖尿病人搖起: 0.17±0.03, p<0.01)。以上結果說明了神經調控機制與規律性的官關連高過其在周期性上的關連。
Two nonlinear approaches, approximate entropy (ApEn) and complexity C, were applied to analyze the complexity of arterial blood pressure (ABP) waveform. Fourteen healthy adults and nineteen diabetic autonomic neuropathy (DAN) subjects were chosen for this experiment. The blood pressure waveform was continuously measured with Finapres device in both the supine and tilt-up positions. The values of ApEn for normals were statistically smaller than that of DAN patients in both supine and tilt-up positions with statistical significance, (Normals rest: 0.17±0.05, DANs rest: 0.34±0.26, p<0.05; Normals tilt-up: 0.27±0.06, DANs tilt-up: 0.36 ± 0.14, p < 0.05). The results of complexity C were contrary to that of ApEn (Normals rest: 0.26±0.05, DANs rest: 0.16±0.05, p<0.01; Normals tilt-up: 0.27±0.03, DANs tilt-up: 0.17±0.03, p<0.01). These results illustrated that the neural control associated with both normals and DAN patients correlated to regularity rather than periodicity.