在咳音频信号中自动检测和预测COVID-19,使用冠状病毒群体免疫优化算法
1Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamilnadu, India, 602117. ayappan01@gmail.com.
Scientific reports
|January 17, 2025
概括
这项研究引入了一种新的深度学习框架,用于使用咳声音检测COVID-19. 增强型深度神经网络 (EDNN) 与冠状病毒群体免疫优化器 (CHIO) 显示,从咳音频信号诊断COVID-19的准确性得到了显著改善.
科学领域:
- 医疗保健中的人工智能
- 数字健康和医学诊断 数字健康和医学诊断
- 生物医学应用的信号处理.
背景情况:
- 全球COVID-19大流行突出了快速和可访问的诊断方法的需要.
- 咳的声音呈现出独特的声学特征,可以将COVID-19与其他呼吸道疾病区分开来.
- 现有的诊断工具可能面临速度,成本或可访问性的限制,特别是在广泛的查场景中.
研究的目的:
- 开发和评估一种先进的深度学习框架,用于使用咳音频信号检测和预测COVID-19.
- 为了利用独特的咳声音模式进行非侵入性COVID-19诊断.
- 提高人工智能驱动的呼吸道疾病诊断的准确性和效率.
主要方法:
- 使用了COUGHVID数据集,其中包括咳音频录音.
- 应用模糊灰色水平差异直方图等级用于音频预处理和U-Net细分.
- 使用泽尼克时刻 (ZM) 和灰色水平共发生矩阵 (GLCM) 提取的声学特征.
- 开发了一个增强的深度神经网络 (EDNN),由冠状病毒群体免疫优化器 (CHIO) 优化进行分类.
主要成果:
- 拟议的EDNN-CHIO模型显示了性能指标的显著改进.
- 与传统模型相比,平均平方误差 (MSE) 降低了25.35%.
- 与PSO,WOA和LSTM等基线方法相比,对称平均绝对百分比误差 (SMAPE) 的改善率为42.06%.
- 该模型表现出优异的误差减少,表明了高的诊断潜力.
结论:
- 通过咳音频分析,EDNN-CHIO框架为COVID-19检测提供了一个有希望,准确和高效的方法.
- 这种人工智能驱动的方法有可能成为早期查和诊断COVID-19的宝贵工具.
- 进一步的研究可以探索使用类似的声学分析技术诊断其他呼吸道疾病的更广泛的应用.
相关概念视频
Classification of Signals
386
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
386
Common Respiratory Disorders
212
Respiratory disorders, a prevalent health concern globally, are generally divided into two primary categories: upper and lower respiratory tract disorders. The categorization is based on the area of the respiratory system they affect.
Upper respiratory disorders impact the airways above the vocal cords, encompassing areas like the nose, sinuses, and throat. Various conditions fall under this category, including the common cold and allergic rhinitis. These disorders can stem from several causes,...
Upper respiratory disorders impact the airways above the vocal cords, encompassing areas like the nose, sinuses, and throat. Various conditions fall under this category, including the common cold and allergic rhinitis. These disorders can stem from several causes,...
212
Chronic Obstructive Pulmonary Disease
1.1K
COPD is defined as a heterogeneous lung condition marked by persistent respiratory symptoms such as dyspnea, cough, and sputum production, caused by abnormalities in the airways that cause airflow obstruction.
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
1.1K
Respiratory System Abnormal Finding II: Palpation and Auscultation
262
In assessing respiratory abnormalities, palpation and auscultation are critical tools for detecting and interpreting various pathophysiological changes. These techniques provide insight into underlying disorders by evaluating tactile sensations and sounds produced by the respiratory system.
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
262
Sensitivity, Specificity, and Predicted Value
177
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
177
Classification of Illness
7.3K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.3K


