Comparative study of ANN and fuzzy classifier for forecasting electrical activity of heart to diagnose Covid-19

Abstract

Covid-19 is a dangerous communicable virus which lets down the world economy. Severe respiratory syndrome SARS-COV-2 leads to Corona Virus Disease (COVID-19) and has the capability of transmission through human-to-human and surface-to-human transmission leads the world to catastrophic phase. Computational system based biological signal analysis helps medical officers in handling COVID-19 tasks like ECG monitoring at Intensive care, fatal ventricular fibrillation, etc., This paper is on diagnosing heart dysfunctions such as tachycardia, bradycardia, ventricular fibrillation, cardiac arrhythmia using fuzzy relations and artificial intelligence algorithm. In this study, the heart pulse base signal and features like spectral entropy, largest lyapunov exponent, Poincare plot and detrended fluctuation analysis are extracted and presented for classification purpose. The RR intervals of Poincare plot summarize RR time series obtained from an ECG in one picture, and a time interval quantities derives information duration of HRV. This analysis eases the prediction of heart rate fluctuation due to Covid or other heart disorders. The better accuracy level in diagnosing heart pulse irregularity using Artificial Neural network(ANN) is an integer value (0 to 4)but for Fuzzy Classifier, it is 0.8 to 0.9.The processing time for analyzing heart dysfunctionalties is 0.05s using ANN which is far better than Fuzzy classifier.

A Novel Approach of Design and Analysis of a Hexagonal Fractal Antenna Array (HFAA) for Next-Generation Wireless Communication

“…Resistance (R), capacitance (C), inductance (L), and conductance (C) can be used to describe an equivalent lumped circuit of a microstrip antenna. The proposed antenna's conducting portion is loomed as a combination of R and L elements in series, as shown in Equations ( 10) and (11), respectively [51].…”

“…One strategy for increasing bandwidth and antenna downsizing is to use fractal shapes. Fractal self-similarity and space-filling features are important for obtaining wide bandwidth [11,12].…”

Design and Synthesis of Multi-Mode Bandpass Filter for Wireless Applications

“…Its side dimensions include length and height define the size of the square cavity. The mathematical formulations for the normalized capacitances per unit element, between resonators and ground for combline filter [7], are given in Equations ( 1)-( 5). The physical configuration of the proposed quad resonator, which consists of four shaped inner conductor poles in a single cavity, is seen in Figure 2.…”

“…The resonator impedance is taken as 70 ohm in order to achieve a high unloaded 'Q' for filter. Mathematical formulations are given in Equations ( 1)-( 6) for the standardized capacitances per unit element between resonators and ground for combline filter [7].…”

“…Although multimode filters have benefits such as low insertion loss and smaller size, designing a higher order multimode filter is difficult due to its design complexity of the coupling with the degenerated modes in a single multimode resonator. Literature shows that there are many papers describing a single multimode resonator, but only a few papers focusing on manifold multimode filters or resonators [7,8]. It is also difficult to build a multimode resonator filter with a broad stopband because their parasitic resonances or modes and multiple degenerate modes operates nearer to the fundamental mode [9,10].…”