Self Adaptive Fuzzy Controller for Supplementary Oxygen Supply to the Respiratory Distress Patients

Naskar, Indrajit; Pal, A. K.

doi:10.3329/jsr.v14i3.58391

Cited by 2 publications

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References 17 publications

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“…As a result, the patient's breathing suffers and the effective surface area needed for the gaseous exchange process increases. Chronic obstructive pulmonary disease is a subtype of it (COPD) [14].…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

Hasan

2023

J. Sci. Res.

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One of the major health challenges of the century is the prevalence of chronic diseases in young adults. The aim of the study was to identify the risk factors for chronic disease and the prevalence of chronic disease in individuals aged 18 to 39. The outcome variable was chronic diseases, and potential predictors included sex, age, education, work status, division, region, smoking status, and respondent's income. Of the 5490 young people, 1782 (32.5 %) had at least one chronic illness. Age, work status, division, geography, and smoking status were significant predictors of chronic illnesses in the multivariate model. Compared to younger young adults, those aged 30-39 had greater odds of developing chronic diseases (OR = 1.57, 95 % CI: 1.16–2.13). Residents in socioeconomically disadvantaged areas are more likely to have chronic illnesses than their more affluent counterparts. Young men are more likely than women to experience chronic illness (OR = 1.06, 95 % CI: 0.92-1.21), although this difference wasn't statistically significant. The highly educated group reports chronic disease more frequently than other groups. These findings, particularly those pertaining to decision-makers, can aid in the justification, direction, and support of programs required to address these altering epidemiological trends.

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Section: Introductionmentioning

confidence: 99%

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

Hasan

2023

J. Sci. Res.

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Self-Regulating Adaptive Controller for Oxygen Support to Severe Respiratory Distress Patients and Human Respiratory System Modeling

Naskar¹,

Pal²,

Jana³

2023

Diagnostics

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Uncontrolled breathing is the most critical and challenging situation for a healthcare person to patients. It may be due to simple cough/cold/critical disease to severe respiratory infection of the patients and resulting directly impacts the lungs and damages the alveoli which leads to shortness of breath and also impairs the oxygen exchange. The prolonged respiratory failure in such patients may cause death. In this condition, supportive care of the patients by medicine and a controlled oxygen supply is only the emergency treatment. In this paper, as a part of emergency support, the intelligent set-point modulated fuzzy PI-based model reference adaptive controller (SFPIMRAC) is delineated to control the oxygen supply to uncomforted breathing or respiratory infected patients. The effectiveness of the model reference adaptive controller (MRAC) is enhanced by assimilating the worthiness of fuzzy-based tuning and set-point modulation strategies. Since then, different conventional and intelligent controllers have attempted to regulate the supply of oxygen to respiratory distress patients. To overcome the limitations of previous techniques, researchers created the set-point modulated fuzzy PI-based model reference adaptive controller, which can react instantly to changes in oxygen demand in patients. Nonlinear mathematical formulations of the respiratory system and the exchange of oxygen with time delay are modeled and simulated for study. The efficacy of the proposed SFPIMRAC is tested, with transport delay and set-point variations in the devised respiratory model.

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Self Adaptive Fuzzy Controller for Supplementary Oxygen Supply to the Respiratory Distress Patients

Cited by 2 publications

References 17 publications

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

Prevalence and Risk Factors Associated with Chronic Diseases Among Young Adult in Bangladesh

Self-Regulating Adaptive Controller for Oxygen Support to Severe Respiratory Distress Patients and Human Respiratory System Modeling

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