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Accurate positioning of the 24-hour pH monitoring catheter:Agreement between manometry and pH step-up method in two patient positions

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World Journal of Gastroenterology 2007年第46期13卷 6197-6202页

作者： Mehmet Fatih Can Gokhan Yagci Sadettin Cetiner mustafa gulsen Taner Yigit Erkan Ozturk Semih Gorgulu Turgut Tufan Departments of General Surgery Gulhane Military Medical AcademyEtlikAnkaraTurkey "Reflux Research Group"Gulhane Military Medical AcademyEtlikAnkaraTurkey Gastoenterology and Hepatology Gulhane Military Medical AcademyEtlikAnkaraTurkey "Reflux Research Group"Gulhane Military Medical AcademyEtlikAnkaraTurkey Departments of General Surgery Gulhane Military Medical AcademyEtlikAnkaraTurkey

AIM： TO investigate the agreement between esophageal manometry and pH step-up method in two different patient positions. METHODS： Eighteen subjects were included in the study. First, the distance from the nose to the proximal border of the lower esophageal sphincter （LES） was measured manometrically. Then a different investigator, who was blinded to the results of the first study, measured the same distance using the pH step-up method, with the patient in both upright and supine positions. An assessment of agreement between the two techniques was performed. RESULTS： In the supine position, the measurement of only one subject was outside the range accepted for correct positioning （~〈 3 cm distal or proximal to the LES）. In the upright position, errors in measurement were recognized in five subjects. Bland-Airman plots revealed good agreement between measurements obtained manometrically and by the pH-step up method with the patient in the supine position. CONCLUSION： In the case of nonavailability of manometric detection device, the pH step-up method can facilitate the positioning of the 24 h pH monitoring catheter with the patient in the supine position. Thisshould increase the use of pH-metry in clinical practice for subjects with suspected gastroesophageal reflux disease if our results are supported by further studies.

关键词： pH monitoring Esophageal manometry pHstep-up method Gastroesophageal reflux

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The Prediction of Propagation Loss of FM Radio Station Using Artificial Neural Network

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Journal of Electromagnetic Analysis and Applications 2014年第11期6卷 358-365页

作者： Ali Riza Ozdemir mustafa Alkan Mehmet Kabak Mehmet gulsen Murat Hüsnü Sazli Information and Communications Technologies Authority Spectrum Monitoring Department Ankara Turkey Department of Electrical and Electronics Engineering Faculty of Technology Universityof Gazi Ankara Turkey Physics Engineering Department Faculty of Science University of Ankara Ankara Turkey Information and Communications Technologies Authority Ankara Turkey Electrical and Electronics Engineering Department Faculty of Engineering University of Ankara Ankara Turkey

In order to calculate the propagation loss of electromagnetic waves produced by a transmitter, a variety of models based on empirical and deterministic formulas are used. In this study, one of the artificial neural networks models, Levenberg-Marquardt algorithm, which is quite effective for predicting the propagation is used and the results obtained by this algorithm are compared with the simulation results based on ITU-R 1546 and Epstein-Peterson models. In this paper, the propagation loss of FM radio station using artificial neural networks models is studied depending on the Levenberg-Marquardt algorithm. For training the artificial neural network, as the input data;range (r), effective antenna height (h) and terrain irregularity (△H) parameters are involved and measured values are treated as the output data. The good results obtained in the city area reveal that the artificial neural network is a very efficient method to compute models which integrate theoretical and experimental data. Meanwhile, the results show that an ANN model performs very well compared with theoretical and empiric propagation models with regard to prediction accuracy, complexity, and prediction time. By comparing the results, the RMSE for Neural Network Model using Levenberg-Marquardt is 9.57, and it is lower than that of classical propagation model using Epstein-Peterson for which RMSE is 10.26.

关键词： Artificial Neural Network Prediction of Propagation

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