Abstract

An anisotropic diffusion filtering- (ADF-) ultrasound (ADF-U) for ultrasound reconstruction was constructed based on the ADF to explore the diagnostic application of ultrasound imaging based on electronic health (E-health) for cardiac insufficiency and neuronal regulation in patients with sepsis. The 144 patients with sepsis were divided into an experimental group (78 patients with cardiac insufficiency) and a control group (66 patients with normal cardiac function), and another 58 healthy people were included in a blank control. The ultrasound examination was performed on all patients. In addition, new ultrasound image reconstruction and diagnosis were performed based on ADF and E-health, and its reconstruction effects were compared with those of the Bilateral Filter-ultrasonic (BFU) algorithm and the Wavelet Threshold-ultrasonic (WTU) algorithm. The left and right ventricular parameters and neuropeptide levels were detected and recorded. The results show that the running time, average gradient (AG), and peak signal-to-noise ratio (SNR) (PSNR) of the ADF-U algorithm were greater than those of the Bilateral Filter-ultrasonic (BFU) and Wavelet Threshold-ultrasonic (WTU), but the mean square error (MSE) was opposite (P < 0.05); the left ventricular end-systolic volume (LVESV) and the vertical distance between the mitral valve E-point to septal separation (EPSS) in the experimental group were higher than those in the control and blank group, while the left ventricular ejection fraction (LVEF), stroke volume (SV), cardiac output (CO), and left ventricular fractional shortening (LVFS) were opposite (P < 0.05); the systolic peak velocity of right ventricular free wall tricuspid annulus (Sm) and pulmonary valve blood velocity (PVBV) in the experimental group were lower than those of the control group and blank group (P < 0.05); the messenger ribonucleic acid (mRNA) of Proopiomelanocortin (POMC) and Cocain and amphetamine-regulated transcript (CART) was higher than the mRNA IN control group and blank group (P < 0.05). In short, the ADF-U algorithm proposed in this study improved the resolution, SNR, and reconstruction efficiency of E-health ultrasound images and provided an effective reference value for the diagnosis of cardiac insufficiency and neuronal adjustment analysis in patients with sepsis in the emergency department.

Highlights

  • Sepsis is a series of systemic response syndromes caused by infection, which can affect multiple organs, leading to organ damage or failure

  • According to the Heart Failure Management Guidelines jointly published by the American Heart Association (AHA), American College of Cardiology (ACC), and American Heart Failure Association (HFSA) in 2017 [10], they were divided into an experimental group (78 sepsis patients with cardiac insufficiency) and a control group (66 sepsis patients with normal heart function)

  • The Bilateral Filter-ultrasonic (BFU) and Wavelet Threshold-ultrasonic (WTU) algorithms were introduced for comparison with the proposed anisotropic diffusion filtering- (ADF-)U algorithm, and it was found that the running time, average gradient (AG), and PSNR of the ADF-U algorithm were observably greater than those of the BFU and WTU algorithm, while its mean square error (MSE) was significantly smaller than those of the other two algorithms (P < 0:05)

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Summary

Introduction

Sepsis is a series of systemic response syndromes caused by infection, which can affect multiple organs, leading to organ damage or failure. The clinical manifestations of sepsis are chills, high fever or low body temperature, cough, sputum, chest pain, and headache, oliguria, consciousness disorder, restlessness, lethargy, apathy, and coma and even shock and progressive multiple organ dysfunction [1, 2]. It usually occurs in patients with severe diseases or trauma, such as severe burns, multiple injuries, postsurgical operations, and severe pneumonia. The three coordinated to play a regulatory role; the various organs and systems in humans and animals can be coordinated and unified into a whole

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