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Electrical modeling of respiratory system and identification of two common COPD diseases through stability analysis technique

机译:呼吸系统的电气建模和通过稳定性分析技术识别两种常见的COPD疾病

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This paper proposes an electrical model of the respiratory system for the diagnosis of very common ventilatory diseases, like bronchitis and emphysema, under chronic obstructive pulmonary disease (COPD). Here we have developed an electrical model which is analogous to the physiological structure of the human respiratory system. The model comprises of passive electrical components (R, L and C). The input impedance is derived from the electrical model. Different time-domain responses are observed from the impedance to study the respiratory tract and alveoli conditions for qualitative assessment of bronchitis (due to narrowed bronchial tubes) and emphysema (due to air pollutants, smoking etc.) respectively. For each of the diseases, we have considered its different qualitative stages or levels e.g. average, good and poor for productive analysis. Finally, from the stability point of view, the root locus technique has been incorporated to monitor the condition of the affected respiratory system. These root locus plots also support the expected clinical phenomena from respiratory system for healthy and COPD affected subjects.
机译:本文提出了一种呼吸系统电模型,用于诊断慢性阻塞性肺疾病(COPD)下非常常见的通气疾病,例如支气管炎和肺气肿。在这里,我们开发了一种类似于人体呼吸系统生理结构的电模型。该模型包含无源电气组件(R,L和C)。输入阻抗来自电气模型。从阻抗观察到不同的时域响应,以研究呼吸道和肺泡状况,以定性评估支气管炎(由于支气管狭窄)和肺气肿(由于空气污染物,吸烟等)。对于每种疾病,我们都考虑了其不同的定性阶段或水平,例如平均而言,进行生产性分析的优缺点。最后,从稳定性的角度来看,已经采用了根轨迹技术来监测受影响的呼吸系统的状况。这些根轨迹图也支持健康和COPD感染者从呼吸系统获得的预期临床现象。

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