Objective dyspnea evaluation on COVID-19 patients learning from exertion-induced dyspnea scores
Zijing Zhang, Jianlin Zhou, Thomas B. Conroy, Samuel Chung, Justin, Choi, Patrick Chau, Daniel B. Green, Ana C. Krieger, Edwin C. Kan

TL;DR
This study demonstrates that non-invasive wearable sensors can objectively monitor dyspnea progression in COVID-19 patients, with findings comparable to physiologically induced dyspnea in healthy subjects, enabling continuous assessment and early intervention.
Contribution
The paper introduces a novel wearable sensor-based method for continuous, objective dyspnea assessment in COVID-19 patients, validated against a model of exertion-induced dyspnea in healthy individuals.
Findings
High similarity between COVID-19 dyspnea and exertion-induced dyspnea in healthy subjects
Continuous dyspnea scores can be reliably tracked over 12-16 hours
Objective dyspnea assessment can aid early detection of exacerbations
Abstract
Objective: Dyspnea is one of the most common symptoms for many pulmonary diseases including COVID-19. Clinical assessment of dyspnea is mainly performed by subjective self-report, which has limited accuracy and is challenging for continuous monitoring. The objective of this research study is to determine if dyspnea progression in COVID patients can be assessed using a non-invasive wearable sensor and if the findings are comparable to a learning model of physiologically induced dyspnea on healthy subjects. Methods: Non-invasive wearable respiratory sensors were employed to retrieve continuous respiratory characteristics with user comfort and convenience. Overnight (~16h) respiratory waveforms were collected on 12 COVID-19 patients, and a benchmark on 13 healthy subjects with exertion-induced dyspnea were also performed for blind comparison. The learning model was built from the…
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Taxonomy
TopicsChronic Obstructive Pulmonary Disease (COPD) Research · Respiratory Support and Mechanisms · Respiratory and Cough-Related Research
