基于仿生学的智能手机追踪早期准确诊断和治疗新冠肺炎的研究

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shweta Gupta, Adesh Kumar
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引用次数: 0

摘要

通过机械和电子设备复制生物系统被称为仿生学。除了听力、视觉、骨科和一小群增强心脏和神经功能的分散植入物外,仿生学行业还沿着四个主要应用领域发展。严重急性呼吸系统综合征冠状病毒2型是一种被称为冠状病毒病(COVID-19)的传染病。病毒感染者需要帮助,以更好地了解COVID-19造成的情况,并提供一些简单、高效和有效的解决方案。早期阶段提到的解决方案之一包括带温度传感器的可穿戴传感器,用于早期新冠肺炎-19识别,并将照片发送到支持人工智能的智能手机、机器人传感器或机器人本身。在严重情况下,肺部X射线图像由机器人和远程传感器拍摄,肺部得到正确的药物来消灭病毒。本文从仿生学的角度介绍了人工智能的概述、应用和深度学习的研究。深度学习和机器学习将用于减少新冠肺炎-19疫情。可穿戴传感器通过在几个物理设备中嵌入温度传感器来提供重要数据,这些传感器可以揭示连接的环境和身体的细节。新冠肺炎-19概率预测借助具有人工智能和机器学习功能的智能手机。病例史、医生笔记、胸部X光报告、突发部位的详细信息以及其他标准可以帮助预测新冠肺炎-19处于严重阶段时的严重程度,并指导对肺部特定区域的用药。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on early accurate diagnosis and treatment of COVID‐19 with smart phone tracking using bionics
The replication of biological systems by mechanical and electronic devices is referred to as bionics. The bionics industry has grown along four primary application areas, in addition to hearing, vision, orthopedics, and a small, dispersed group of implants that enhance cardiac and neurological functions. The SARS‐CoV‐2 virus is the infectious disease known as coronavirus disease (COVID‐19). The virus‐infected people require assistance to better understand the situation caused by COVID‐19 and to bring some easy, efficient, and effective solutions. One of the solutions mentioned for the early stages involves wearable sensors with temperature sensors for early Covid‐19 identification and photos delivered to an AI‐enabled smartphone, robotic sensor, or robot itself. In severe situations, lung X‐ray images are captured by robotic and remote sensors, and the lungs are given the right medication to finish off the virus. The paper presents the study on the overview, applications of artificial intelligence, and deep learning from the bionics point of view. Deep learning and machine learning will be used for reducing the Covid‐19 outbreak. Wearable sensors provide important data by having temperature‐embedded sensors in several physical devices that reveal details about the environment and body that are connected. Covid‐19 probability prediction is aided by smartphones with artificial intelligence and machine learning capabilities. Case history, doctor notes, chest X‐ray reports, details on the sites of breakouts, and other criteria can help forecast the severity of Covid‐19 when it is in its severe phases and direct the administration of medication to a specific area of the lungs.
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