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The breath sound analysis for diseases diagnosis and stress measurement

机译:呼吸音分析,用于疾病诊断和压力测量

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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 a- d stress measurement.
机译:本研究论文从两个方面描述了呼吸声分析和应用开发的研究:(1)作为疾病诊断工具,特别是肺和呼吸系统疾病; (2)用于应力测量。肺部疾病诊断应用程序由软件和硬件组件组成,构成了肺部疾病的第一手诊断工具,以支持护理人员/医生进行肺部疾病的诊断。听诊是最常见和最成熟的肺部疾病诊断技术之一,该术语是指通常使用听诊器听呼吸系统的内部声音(呼吸声)。然而,这种诊断方式在很大程度上仅取决于护理人员/医生的听力技能和判断力。在这项研究中,我们开发了一种具有新型前端设备的新型诊断工具,用于肺部疾病的诊断应用程序:配备高灵敏麦克风的手机可记录呼吸声。然后,处理此记录的呼吸声以生成肺声,该声音与听诊器听到并记录的肺声大致相似,然后对肺声进行分析以诊断患者的肺是否健康。该应用程序有望支持医护人员/医生向农村地区的流动以及远程诊断。要求是创建一个第一手的诊断工具,该工具允许医护人员前往农村地区进行肺部疾病诊断。研究首先介绍了现有的肺部疾病诊断工具和研究,压力测量,然后对肺部疾病诊断应用进行了分析和初步设计。为了使每个肺健康公共委员会(Balai Besar Kesehatan Paru Masyarakat)和医院都可以作为数据所有者来维护自己的数据,并提供数据机密性,然后应用云计算环境。希望这项研究可以达到两个目的:肺部疾病诊断和压力测量。

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