期刊
IEEE SENSORS JOURNAL
卷 23, 期 13, 页码 14114-14122出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3275323
关键词
Fiber gratings; Sensors; Monitoring; Heart rate; Loading; Instruments; Hysteresis; Cardiorespiratory monitoring; fiber Bragg grating (FBG) sensors; heart rate (HR) monitoring; smart mattress; unobtrusive monitoring
In recent years, researchers have been looking for unobtrusive solutions to monitor cardiorespiratory activity, and fiber Bragg grating (FBG) sensors show promise in monitoring respiratory rate (RR) and heart rate (HR). This study tests a mattress based on a 13-FBG array for continuous HR estimation and assesses its performance in different breathing regimes and postures. The results suggest that the proposed mattress has the potential to reliably estimate HR values, demonstrating the high potential for monitoring cardiorespiratory activity.
In recent years, extensive investigations have been geared toward finding unobtrusive solutions for monitoring cardiorespiratory activity as an alternative to traditional clinical methods. Among others, the ones based on fiber Bragg grating (FBG) sensors reveal remarkable promise for monitoring respiratory rate (RR) and heart rate (HR). The present study investigates the performance of a mattress based on a 13-FBG array for HR continuous estimation. First, a metrological characterization was performed to assess system characteristics under frequencies simulating typical HR values [i.e., 60, 90, and 120 beats per minute (bpm)]. Then, the proposed device was tested on eight healthy volunteers (both males and females) in the presence of different breathing stages (i.e., quiet breathing and tachypnea) while mimicking common sleeping postures (i.e., supine, left side, and prone). The assessment of HR measurements under different breathing regimes and postures has rarely been addressed in FBG-based technologies. The achieved results suggest that the proposed mattress has promising capability in reliably estimating HR values. These results together with the ones obtained in terms of RR monitoring in a recent study reveal the high potential for monitoring cardiorespiratory activity.
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