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

ABSTRACT: 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 m

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC10221378 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature