Internet of medical things. Measurement of respiratory dynamics using wearable sensors in post-COVID-19 patients
Abstract
Nowadays, the measurement of respiratory dynamics is underrated at clinical setting and in the daily life of a subject, still representing a challenge from a technical and medical point of view. In this article we propose a concept to measure some of its parameters, such as the respiratory rate (RR), using four inertial sensors. Two different experiments were performed to validate the concept. We analyzed the most suitable placement of each sensor to assess those features and studied the reliability of the system to measure abnormal parameters of respiration (tachypnea, bradypnea and breath holding). Finally, we measured post-COVID-19 patients, some of them with breath alterations after more than a year of the diagnosis. Experimental results showed that the proposed system could be potentially used to measure the respiratory dynamics at clinical setting. Moreover, while RR can be easily calculated by any sensor, other parameters need to be measured with a sensor in a particular position.
Keywords
Respiratory dynamics; Post-COVID-19 condition; Respiratory rate
Bibliographic citation
García Cena CE, Silva L, Diaz Palencia FH, Moríñigo MI, Santos CP, Saltarén Pazmiño R, et al. Internet of medical things. Measurement of respiratory dynamics using wearable sensors in post-COVID-19 patients. Enfoque UTE. 2023 Jul;14(3):36–48.
Audience
Professionals
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https://hdl.handle.net/11351/10124This item appears in following collections
- HVH - Articles científics [2504]
- VHIR - Articles científics [1022]
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