臺灣博碩士論文加值系統

電生理信號如心電圖(Electrocardiogram, ECG)、腦電圖(Electroencephalogram, EEG)、肌電圖(Electromyogram, EMG)與胃電圖(Electrogastrogram, EGG)，皆可反映出內部器官的部份功能。
本研究之目的是以三種不同卡路里的液體去評估胃電圖參數與胃的超音波量測之間的關連性。我們給二十位受試者喝下三種不同卡路里的液體來研究對餐後胃的肌電活動所造成的影響，也就是各種胃電圖參數的變化情形。此外，藉由超音波影像的變化，去量測胃壁與體表的距離以決定是否不同卡路里的液體之胃電圖信號與胃的超音波量測之間有任何關連性存在。同樣地，藉由超音波影像的變化，去分析胃的容積變化和胃電圖主功率的關連性。最後做統計分析，以了解各項實驗數據是否有統計上的意義。
實驗結果顯示，胃電圖參數在空腹的條件下並沒有重要的差別。喝下三種不同卡路里的液體後，只有胃電圖主功率在餐後的改變上都具有統計上的意義。喝下三種不同卡路里的液體後，胃壁與體表的距離變化並沒有重要的差別。實驗結果也顯示，卡路里較高的液體排空的速率比較慢，所以胃的容積也就為最大。

The electrophysiological signals, such as electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG) and electrogastrogram (EGG), can reveal partial function of their associated organ.
The aim of this study was to evaluate the correlation between the EGG parameters and gastric ultrasound measurements by using three different caloric liquids. Twenty healthy subjects were given three different caloric liquids to investigate the effect of three different liquids on postprandial gastric myoelectrical activity; that is, variations of various EGG parameters. Furthermore, by means of ultrasound imaging, the distance between the gastric wall and the abdominal wall was measured to determine if there was any correlation between the EGG signals and gastric ultrasound measurements of different caloric liquids. Similarly, by means of ultrasound imaging, the correlation between variations of gastric volume and EGG dominant power was analyzed. Finally, Student’s t-test was performed and P values＜0.05 were considered to be statistically significant.
The result revealed that the fasting EGG parameters showed no significant difference. The postprandial changes in EGG dominant power in all three sessions produced a statistically significant increase. The distance between the gastric wall and the abdominal wall in all three sessions showed no significant difference. It was also found that a liquid with higher caloric content resulted in a larger gastric retention volume.

第一章 緒論
1-1 胃電氣生理活動之基礎
1-2 胃電圖
1-3 超音波
1-4 文獻回顧
第二章 信號擷取系統
2-1 胃電圖信號擷取系統
2-1-1 擷取信號方式
2-1-2 硬體描述
2-1-3 頻譜分析方法
2-1-4 軟體描述
2-2 超音波系統
2-2-1 擷取信號方式
2-2-2 硬體描述
2-3 實驗流程
第三章 實驗結果
3-1 胃電圖參數
3-1-1 頻譜分析
3-1-2 胃電圖主頻率
3-1-3 胃電圖主功率
3-1-4 正常胃的慢波之百分比
3-2 超音波量測
3-2-1 胃壁與體表的距離變化
3-2-2 胃的切面面積變化
3-3 統計分析
第四章 討論
4-1 胃電圖參數
4-2 超音波量測
4-3 結論
參考文獻

[1] A.C. Guyton and J.E. Hall, “Textbook of Medical Physiology”, 10th Ed, W.B. Saunders, Philadelphia, 2000.
[2] B.O. Familoni, Y.J. Kingma and K.L. Bowes, “Study of transcutaneous and intraluminal measurement of gastric electrical activity in humans”, Medical & Biological Engineering & Computing, Vol. 25, pp. 397-402, 1987.
[3] J.D.Z. Chen and R.W. McCallum, “Electrogastrography: measurement, analysis and prospective applications”, Medical & Biological Engineering & Computing, Vol. 29, pp. 339-350, 1991.
[4] W.C. Alvarez, “The electrogastrogram and what it shows”, JAMA, Vol. 78, pp. 1116-1119, 1922.
[5] M.P. Mintchev, Y.J. Kingma and K.L. Bowes, “Accuracy of cutaneous recordings of gastric electrical activity”, Gastroenterology, Vol. 104, pp. 1273-1280, 1993.
[6] J.D.Z. Chen, R.D. Richards and R.W. McCallum, “Identification of gastric contractions from the cutaneous electrogastrogram”, American Journal of Gastroenterology, Vol. 89, pp. 79-85, 1994.
[7] J.D.Z. Chen, J. Vandewalle, W. Sansen, E. van Cutsem, G. Vantrappen and J. Janssens, “Observation of the propagation direction of human electrogastric activity from cutaneous recordings”, Medical & Biological Engineering & Computing, Vol. 27, pp. 538-542, 1989.
[8] J. Liang and J.D.Z. Chen, “What can be measured from surface electrogastrography”, Digestive Diseases and Sciences, Vol. 42, pp. 1331-1343, 1997.
[9] J.D.Z. Chen, J. Vandewalle, W. Sansen, G. Vantrappen and J. Janssens, “Multichannel adaptive enhancement of the electrogastrogram”, IEEE Transactions on Biomedical Engineering, Vol. 37, pp. 285-294, 1990.
[10] J.D.Z. Chen, J. Vandewalle, W. Sansen, G. Vantrappen and J. Janssens, “Adaptive method for cancellation of respiratory artefact in electrogastric measurements”, Medical & Biological Engineering & Computing, Vol. 27, pp. 57-63, 1989.
[11] J.D.Z. Chen, “A computerized data analysis system for electrogastrogram”, Computers in Biology & Medicine, Vol. 22, pp. 45-57, 1992.
[12] Z. Lin and J.D.Z. Chen, “Comparison of three running spectral analysis methods for electrogastrographic signals”, Medical & Biological Engineering & Computing, Vol. 33, pp. 596-604, 1995.
[13] E.J. van der Schee and J.L. Grashuis, “Running spectrum analysis as an aid in the representation and interpretation of electrogastrographic signals”, Medical & Biological Engineering & Computing, Vol. 25, pp. 57-62, 1987.
[14] D. Levanon, M. Zhang, W.C. Orr and J.D.Z. Chen, “Effects of meal volume and composition on gastric myoelectrical activity”, American Journal of Physiology, Vol. 274, pp. G430-G434, 1998.
[15] K. Hveem, K.L. Jones, B.E. Chatterton and M. Horowitz, “Scintigraphic measurement of gastric emptying and ultrasonographic assessment of antral area: relation to appetite”, Gut, Vol. 38, pp. 816-821, 1996.
[16] J.D.Z. Chen and R.W. McCallum, “Clinical applications of electrogastrography”, American Journal of Gastroenterology, Vol. 88, pp. 1324-1336, 1993.
[17] J.K. Jamb, F.S. Jaw, M.J. Shieh and T.S. Kuo, “Portable EGG Recorder and a Recording of the Serosal EGG of the Rabbit”, Chinese biomedical engineering society annual meeting, pp. 66-67, 1999.
[18] J.N. Hunt, J.L. Smith and C.L. Jiang, “Effect of meal volume and energy density on the gastric emptying of carbohydrates”, Gastroenterology, Vol. 89, pp. 1326-1330, 1985.
[19] Z. Lin, J. Maris, L. Hermans, J. Vandewalle and J.D.Z. Chen, “Classification of normal and abnormal electrogastrograms using multilayer feedforward neural networks”, Medical & Biological Engineering & Computing, Vol. 35, pp. 199-206, 1997.
[20] Z.S. Wang, J.Y. Cheung and J.D.Z. Chen, “Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network”, Medical & Biological Engineering & Computing, Vol. 37, pp. 80-86, 1999.