A Highly Efficient Computer Method for Solving Polynomial Equations Appearing in Engineering Problems

A highly efficient two-step simultaneous iterative computer method is established here for solving polynomial equations. A suitable special type of correction helps us to achieve a very high computational efficiency as compared to the existing methods so far in the literature. Analysis of simultaneous scheme proves that its convergence order is 14. Residual graphs are also provided to demonstrate the efficiency and performance of the newly constructed simultaneous computer method in comparison with the methods given in the literature. In the end, some engineering problems and some higher degree complex polynomials are solved numerically to validate its numerical performance.

Analysis of electrogastroenterographic signals using the computer method

Electrogastroenterography is a field that studies the condition of the gastrointestinal tract. Electrophysiological signals contain artifacts that are not directly related to the activity of the organism, and the filtration of such artifacts is an important issue. Electrogastroenterography is a field that studies the condition of the gastrointestinal tract. This method is associated with radiography, ultrasound, endoscopy. In these methods, electrical signals are taken from the surface of the abdominal cavity. For this purpose, the issues of elimination of artifactors, processing and analysis of signals on the example of electrogastroenterograms for processing and measurement of electrophysiological signals were considered. Keywords:Electrogastroenterography, non-stationary signals, electrophysiological signals, computer processing, wavelet conversion, frequency modulation, wavelet Morle function

THE REMOTE ANALYSIS OF BREATH SOUND IN COVID-19 PATIENTS: A SERIES OF CLINICAL CASES

Background: Respiratory sounds have been recognized as a possible indicator of behavior and health. Computer analysis of these sounds can indicate of characteristic sound changes caused by COVID-19 and can be used for diagnosis of this illness. Purpose: The communication aim is development of fast remote computer-assistance diagnosis of COVID-19, based on analysis of respiratory sounds. Materials and Methods: Fast Fourier transform (FFT) was applied for analyses of respiratory sounds recorded near the mouth of 9 COVID-19 patients and 4 healthy volunteers. Sampling rate was 48 kHz. Results: Comparing of FFT spectrums of the respiratory sounds of the patients and volunteers we proposed numerical healthy-ill criterions. Conclusions: The proposed computer method, based on analysis of the FFT spectrums of respiratory sounds of the patients and volunteers, allows one to automatically diagnose COVID-19 with sufficiently high diagnostic values. This method can be applied at development of noninvasive self-testing kits for COVID-19.