Contactless geophone-based vital sign monitoring with the SimDot testbed achieved a mean absolute error of 1.28 bpm for heart rate and 1.46 bpm for respiratory rate compared to FDA-approved device in healthy adults.
A novel programmable testbed successfully generates realistic cardiorespiratory vibration signals across extreme physiological ranges, correlating strongly with human data and enabling robust algorithm development for contactless monitoring.
Effect estimate: MAE 1.28 bpm for HR, MAE 1.46 bpm for RR
Contactless monitoring of vital signs such as heart rate (HR) and respiratory rate (RR) has gained significant attention, with vibration-based sensors like geophones showing promise for accurate, non-invasive monitoring. However, most existing systems are developed with healthy subjects and may not generalize well to extreme physiological ranges, such as those observed in infants or patients with arrhythmia. Moreover, the underlying mechanisms of cardiorespiratory vibration dynamics remain insufficiently understood, limiting clinical adoption of these systems. To address these challenges, we present a programmable cardiorespiratory testbed capable of generating realistic HR and RR signals across a wide range (HR: 40–240 bpm, RR: 8–40 bpm). Our system uses a voice coil motor that acts as the vibration source, driven by a Raspberry Pi-based control circuit. Unlike similar systems that use separate modules for heart and lung signals, our setup generates both signals using a single motor. The synthetic signals exhibit a strong correlation of 0.85 compared with data from 75 human subjects. We use this system to design signal processing-based algorithms for vital signs monitoring and demonstrate their robustness for extreme physiological ranges. The proposed system enhances the understanding of cardiorespiratory vibration dynamics while significantly reducing the time and effort required to collect real-world data.
Pitafi et al. (Sat,) conducted a other in Healthy adults with no significant cardiac conditions (including arrhythmia), average age 50 ± 19 years, 32 males and 43 females (n=75). Contactless vital signs monitoring using a geophone sensor testbed (SimDot) vs. Gold standard FDA-approved Caretaker4 device measurements was evaluated on Accuracy of heart rate (HR) and respiratory rate (RR) estimation compared to FDA-approved reference device (MAE 1.28 bpm for HR, MAE 1.46 bpm for RR). Contactless geophone-based vital sign monitoring with the SimDot testbed achieved a mean absolute error of 1.28 bpm for heart rate and 1.46 bpm for respiratory rate compared to FDA-approved device in healthy adults.
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