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- W4382602460 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." @default.
- W4382602460 created "2023-06-30" @default.
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- W4382602460 date "2023-07-01" @default.
- W4382602460 modified "2023-10-07" @default.
- W4382602460 title "Internet of medical things. Measurement of respiratory dynamics using wearable sensors in post-COVID-19 patients." @default.
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- W4382602460 doi "https://doi.org/10.29019/enfoqueute.972" @default.
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