Why the study?
Respiratory rate is a crucial indicator for monitoring human physiological health, prompting the introduction of a head-mounted respiratory monitoring solution based on electrical impedance sensing.
Does a head-mounted electrical impedance respiratory monitoring system accurately measure respiratory rate compared to commercial devices?
Does a head-mounted electrical impedance respiratory monitoring system accurately measure respiratory rate compared to commercial devices?
A novel head-mounted electrical impedance sensor can accurately measure respiratory rate, demonstrating feasibility for continuous physiological monitoring.
Feasibility shown for head-mounted impedance-based respiratory sensing; leaves open clinical validation before practice adoption.
The respiratory rate is one of the crucial indicators for monitoring human physiological health. The purpose of this paper was to introduce a head-mounted respiratory monitoring solution based on electrical impedance sensing. Firstly, we constructed a finite element model to analyze the feasibility of using head impedance for respiratory sensing based on the physiological changes in the pharynx. After that, we developed a circuit module that could be integrated into a head-mounted respiratory monitoring device using a bioelectrical impedance sensor. Furthermore, we combined adaptive filtering and respiratory tracking algorithms to develop an app for a mobile phone. Finally, we conducted controlled experiments to verify the effectiveness of this electrical impedance sensing system for extracting respiratory rate. We found that the respiration rates measured by the head-mounted electrical impedance respiratory monitoring system were not significantly different from those of commercial respiratory monitoring devices by a paired t-test (p > 0.05). The results showed that the respiratory rates of all subjects were within the 95% confidence interval. Therefore, the head-mounted respiratory monitoring scheme proposed in this paper was able to accurately measure respiratory rate, indicating the feasibility of this solution. In addition, this respiratory monitoring scheme helps to achieve real-time continuous respiratory monitoring, which can provide new insights for personalized health monitoring.
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Yan et al. (2022) studied this question.
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