The breath sound analysis for diseases diagnosis and stress measurement

Ria Lestari Moedomo, M. S. Mardiyanto, Munawar Ahmad, B. Alisjahbana, T. Djatmiko
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引用次数: 8

Abstract

This research paper describes the study of the breath sound analysis and application development for two fold purposes: (1) for diseases diagnosis tool, specifically the lung and respiratory diseases; and (2) for stress measurement. The Lung Diseases Diagnosis Application consists of software and hardware components which formed a first-hand diagnosis tool of the lung diseases, to support the paramedics/doctors in lung diseases diagnosis. One of the most common and proven technique for lung disease diagnosis is the Auscultation, the term refers to listening to the internal sounds of the respiratory system (breath sounds), usually by using a stethoscope. However, this diagnosis way depends heavily on the listening skills and judgment of the paramedics/doctors only. In this research, we develop a new diagnosis tool with a new front-end equipment for the lung diseases diagnosis application: hand-phone equipped with a highly sensitive microphone, to record the breath-sound. This recorded breath-sound is then processed to generate the lung sound, which is approximately similar with the lung-sound heard and recorded by a stethoscope and the lung-sound is analysed to diagnose whether the patient's lung is healthy or not. This application would hopefully support the paramedics/doctors mobility to rural areas as well as remote diagnosis. The requirement is to create a first-hand diagnostic tool which allows paramedic mobility to rural areas for lung diseases diagnostic purposes. The study first describes about the existing lung diseases diagnostic tools and researches, stress measurement, then analysis and preliminary design of lung diseases diagnosis application. To enable each Lung Health Public Council (Balai Besar Kesehatan Paru Masyarakat) and Hospitals as data owner to maintain its own data, and to provide the data confidentiality as well, the cloud computing environment is then applied. Hopefully this research could serve both purposes: the lung diseases diagnosis and stress measurement.
呼吸音分析用于疾病诊断和压力测量
本文介绍了呼吸音分析的研究和应用开发的双重目的:(1)作为疾病诊断工具,特别是肺部和呼吸系统疾病的诊断工具;(2)应力测量。肺部疾病诊断应用程序由软件和硬件组成,构成了肺部疾病的第一手诊断工具,以支持护理人员/医生进行肺部疾病诊断。其中最常见和最成熟的肺部疾病诊断技术是听诊,该术语指的是通过听诊器听呼吸系统的内部声音(呼吸声音)。然而,这种诊断方式在很大程度上依赖于护理人员/医生的倾听技巧和判断。在本研究中,我们开发了一种新的诊断工具,具有新的前端设备,用于肺部疾病的诊断应用:配备高灵敏度麦克风的手机,记录呼吸声。然后对记录的呼吸音进行处理,产生与听诊器听到和记录的肺音大致相似的肺音,并对肺音进行分析,以诊断患者的肺是否健康。该应用程序有望支持护理人员/医生到农村地区的流动性以及远程诊断。要求是创建一种第一手诊断工具,使护理人员能够流动到农村地区进行肺病诊断。本研究首先介绍了现有的肺部疾病诊断工具和研究、应力测量,然后分析和初步设计了肺部疾病诊断的应用。为了使每个肺健康公共委员会(Balai Besar Kesehatan Paru Masyarakat)和医院作为数据所有者维护自己的数据,并提供数据机密性,然后应用云计算环境。希望这项研究能同时达到肺部疾病诊断和压力测量的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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