DocumentCode
3545735
Title
Electrical modeling of respiratory system and identification of two common COPD diseases through stability analysis technique
Author
Bagchi, Saurabh ; Chattopadhyay, Madhurima
Author_Institution
Dept. of Appl. Electron. & Instrum., Heritage Inst. of Technol., Kolkata, India
fYear
2012
fDate
23-25 Aug. 2012
Firstpage
403
Lastpage
408
Abstract
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.
Keywords
bioelectric phenomena; diseases; pneumodynamics; root loci; stability; time-domain analysis; COPD disease identification; alveoli conditions; bronchitis; chronic obstructive pulmonary disease; electrical modeling; emphysema; human respiratory system; input impedance; passive electrical components; respiratory tract; root locus plots; stability analysis technique; time-domain responses; ventilatory diseases; Atmospheric modeling; Integrated circuit modeling; MATLAB; Mathematical model; Physiology; Bronchitis; COPD; electrical model; emphysema; respiratory system; root locus technique; stability analysis; time-domain responses;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
Conference_Location
Ramanathapuram
Print_ISBN
978-1-4673-2045-0
Type
conf
DOI
10.1109/ICACCCT.2012.6320811
Filename
6320811
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