LungScope: An Intelligent Embedded System With a Lightweight Model for Real-Time Lung Sound Analysis

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Fan Wang;Xiaochen Yuan;Guoheng Huang;Chan-Tong Lam;Sio-Kei Im
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引用次数: 0

Abstract

Lung auscultation is crucial for early respiratory disease diagnosis. However, limited resources hinder accurate and timely assessment in many regions. In this article, we present LungScope, an intelligent embedded system designed for real-time lung sound classification. We first introduce LungLite, a lightweight classification model optimized based on our previous work, targeting deployment in resource-constrained environments. The architecture adopts redesigned LungLite blocks to reduce computational complexity while maintaining accuracy. In addition, it integrates advanced attention modules, such as SimAM and CBAM, to further enhance classification accuracy. LungLite was evaluated on the SPRSound dataset, achieving SC scores of 0.7008 for the three-class classification task and 0.5657 for the five-class classification task, with only 2.984M parameters and 0.494G FLOPs. LungLite is further integrated into LungScope by deploying it on a Raspberry Pi 4 Model B (Pi4B) with a custom-designed expansion circuit board. This integration enables optimized control, real-time lung sound acquisition, classification, and result display. The proposed portable embedded system provides an effective solution for real-time lung sound classification, supporting the basic service of healthcare in resource-limited urban settings.
LungScope:一个轻量级模型的智能嵌入式系统,用于实时肺声分析
肺听诊对呼吸道疾病的早期诊断至关重要。然而,在许多地区,有限的资源阻碍了准确和及时的评估。本文介绍了一种用于实时肺音分类的智能嵌入式系统LungScope。我们首先介绍了LungLite,这是一个基于我们之前工作优化的轻量级分类模型,目标是在资源受限的环境中部署。该架构采用重新设计的LungLite块,在保持精度的同时降低计算复杂度。此外,还集成了SimAM、CBAM等高级关注模块,进一步提高了分类精度。在SPRSound数据集上对LungLite进行评估,三级分类任务的SC得分为0.7008,五级分类任务的SC得分为0.5657,参数仅为2984 m, FLOPs为0.494G。通过将其部署在具有定制设计的扩展电路板的Raspberry Pi4 Model B (Pi4B)上,LungLite进一步集成到LungScope中。这种集成使优化控制,实时肺声采集,分类和结果显示。提出的便携式嵌入式系统为实时肺声分类提供了一种有效的解决方案,支持资源有限的城市环境下的基本医疗保健服务。
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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