Application of Optimal Wavelet Transform Models in Signal Processing

It is known that although there are currently several methods in world medicine to monitor the activity of the gastrointestinal tract and identify its pathologies, the most effective method is to monitor the activity of the gastrointestinal tract using a probe device. However, medical experts do not recommend using this method for patients with diabetes or those who have undergone gastrointestinal surgery. Also, the use of this probe device can lead to various infections, which can have negative consequences for the patient's life. In this case, regular monitoring of gastrointestinal function and diagnostic evaluation using gastroenterological signals is an effective approach. Gastroenterological signals provide a wealth of information about the structure and function of the gastrointestinal tract. However, when these signals are received, various types of noise are added to them, making it difficult to properly understand the signal result. Such problems are considered one of the pressing problems of modern biomedicine today. In this research, the wavelet method, which is one of the most effective methods with a simple mathematical apparatus for digital signal and image processing, was selected to minimize noise and maximize accuracy as a result of digital processing of gastroenterological signals. Based on the results obtained at the end of the research work, the results and achievements achieved in the research work are explained.

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