Deduced Respiratory Scores on COVID-19 Patients Learning from Exertion-Induced Dyspnea.

Publication date: May 13, 2023

Dyspnea is one of the most common symptoms of many respiratory diseases, including COVID-19. Clinical assessment of dyspnea relies mainly on self-reporting, which contains subjective biases and is problematic for frequent inquiries. This study aims to determine if a respiratory score in COVID-19 patients can be assessed using a wearable sensor and if this score can be deduced from a learning model based on physiologically induced dyspnea in healthy subjects. Noninvasive wearable respiratory sensors were employed to retrieve continuous respiratory characteristics with user comfort and convenience. Overnight respiratory waveforms were collected on 12 COVID-19 patients, and a benchmark on 13 healthy subjects with exertion-induced dyspnea was also performed for blind comparison. The learning model was built from the self-reported respiratory features of 32 healthy subjects under exertion and airway blockage. A high similarity between respiratory features in COVID-19 patients and physiologically induced dyspnea in healthy subjects was observed. Learning from our previous dyspnea model of healthy subjects, we deduced that COVID-19 patients have consistently highly correlated respiratory scores in comparison with normal breathing of healthy subjects. We also performed a continuous assessment of the patient’s respiratory scores for 12-16 h. This study offers a useful system for the symptomatic evaluation of patients with active or chronic respiratory disorders, especially the patient population that refuses to cooperate or cannot communicate due to deterioration or loss of cognitive functions. The proposed system can help identify dyspneic exacerbation, leading to early intervention and possible outcome improvement. Our approach can be potentially applied to other pulmonary disorders, such as asthma, emphysema, and other types of pneumonia.

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Concepts Keywords
Covid Asthma
Dyspneic Benchmarking
Healthy clinical diagnosis
Pneumonia COVID-19
Respiratory COVID-19
Physical Exertion
pulmonary disorders
respiratory monitoring


Type Source Name
disease MESH COVID-19
disease MESH respiratory diseases
disease VO population
disease IDO intervention
disease MESH asthma
pathway KEGG Asthma
disease MESH emphysema
disease MESH pneumonia
disease VO USA
disease IDO symptom
disease MESH COPD
disease MESH bronchitis
disease MESH heart failure
disease MESH panic disorders
disease VO Severe acute respiratory syndrome coronavirus 2
disease MESH infection
drug DRUGBANK Coenzyme M
disease MESH sequelae
disease MESH long COVID
disease MESH syndrome
disease VO efficiency
disease MESH abnormalities
disease VO report
disease MESH stroke
disease MESH dementia
disease VO frequency
disease VO protocol
disease MESH hypertension
disease MESH obstructive sleep apnea
disease IDO history
disease MESH lung diseases
drug DRUGBANK Oxygen
drug DRUGBANK Etoperidone
disease VO device
disease IDO algorithm
disease VO volume

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