Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

Xiaoqun Chen,Yufen Yao

doi:10.1155/2021/5690442

Abstract

To discuss the application method and effect of COPD patients in deep learning in intelligent monitoring, two groups were used under a reasonable selection of antibiotics specifically including reasonable and effective oxygen administration, atomization, sputum discharge treatment, psychotherapy, and rehabilitation training and treatment. Results were indicated, and there were significant differences between the lung function evaluation index and the two groups. Its intelligent monitoring mode was 97.5% and 80.0%, while the red blood cell ratio, arterial oxygen partial pressure (PaO2), pulse blood oxygen saturation (SpO2), arterial carbon dioxide partial pressure (PaCO2), and symptom improvement were better than artificial and were statistically significant (P < 0.05). Therefore, the training of the anti-inspiratory muscle can effectively improve the lung function and dyspnea symptoms of COPD patients at the stable stage, thus greatly improving their respiratory function and ensuring the quality of life of patients, which is worthy of clinical application.

Highlights

Chronic obstructive pulmonary disease (COPD) is a relatively common chronic disease in respiratory and critical care medicine
It adopts the method of intelligent antiobstructive inspiratory muscle, which can help to reduce the degree of dyspnea of patients, promote recovery as soon as possible, and effectively increase the lung capacity through training, which is convenient for the same method of training to be widely carried out in clinical treatment. e results of this study show that the intervention effect of intelligent antiobstructive inspiratory muscle training is significantly better than ordinary pulmonary rehabilitation breathing training for COPD patients in the stable stage, indicating that intelligent antiobstructive inspiratory muscle training does have a significant effect on the intervention of COPD patients in the stable stage
4.3 ± 3.2 8.6 ± 3.2 has been reported that pulmonary rehabilitation treatment in stable COPD patients can largely improve the lung function of patients, relieve the symptoms of dyspnea, and improve the prognosis of the disease. e intervention effect of intelligent antiobstructive inspiratory muscle training for COPD patients in the stable stage is significantly better than that of ordinary pulmonary rehabilitation breathing training, indicating that intelligent antiobstructive inspiratory muscle training does have a significant effect on COPD patients in the stable stage

Summary

Introduction

Chronic obstructive pulmonary disease (COPD) is a relatively common chronic disease in respiratory and critical care medicine. Lung rehabilitation training has been proved to Contrast Media & Molecular Imaging be an effective treatment for COPD patients both in the COPD guidelines and in scientific studies at home and abroad, and it is a more favorable method for the recovery of lung function and disease stability Based on this, it adopts the method of intelligent antiobstructive inspiratory muscle, which can help to reduce the degree of dyspnea of patients, promote recovery as soon as possible, and effectively increase the lung capacity through training, which is convenient for the same method of training to be widely carried out in clinical treatment. It is worthy of future clinical application [4]

Methods of Study

Results’ Analysis

Discussion

Findings

Conclusion