DeepFusion: early diagnosis of COPD, asthma, and pneumonia using lung sound analysis with a multimodal BiGRU network.

IF 1.7 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Prakash Sahu, Santosh Kumar, Ajoy Kumar Behera
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引用次数: 0

Abstract

The key component of pulmonary disease is the structure of respiratory sound (RS) auscultation and its analysis, which provide symptomatic information about a patient's lung. The overlap in symptoms complicates early diagnosis, making timely and accurate differentiation essential for effective treatment. This study aims to develop a multimodal framework for distinguishing and early diagnosis of COPD, asthma, and pneumonia. Descriminative features are extracted from pre-processed lung sound signal using FBSE, Spectrogram, and MFCCs. These features are integrated through a weighted multimodal fusion method and classified using BiGRU network. The framework achieved 94.1% precision overall, with strong accuracy in pairwise disease distinction- 81.73%(COPD-Asthma), 94.41% (COPD- pneumonia), and 97.40%(Asthma- pneumonia).

DeepFusion:利用多模态BiGRU网络进行肺音分析,早期诊断COPD、哮喘和肺炎。
肺部疾病的关键组成部分是呼吸音(RS)听诊结构及其分析,它提供了患者肺部的症状信息。症状的重叠使早期诊断复杂化,因此及时准确的鉴别对有效治疗至关重要。本研究旨在建立一个鉴别和早期诊断COPD、哮喘和肺炎的多模式框架。利用FBSE、谱图和MFCCs从预处理后的肺声信号中提取特征。这些特征通过加权多模态融合方法进行整合,并使用BiGRU网络进行分类。总体而言,该框架的准确率达到了94.1%,其中对疾病的两两区分准确率很高,分别为81.73%(COPD-哮喘)、94.41% (COPD-肺炎)和97.40%(哮喘-肺炎)。
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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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