A Testbed for the Development and Validation of Contactless Vital Signs Monitoring Systems.

Area of Science:

• Biomedical Engineering
• Physiological Monitoring
• Vibration Dynamics

Background:

• Contactless vital signs monitoring (heart rate, respiratory rate) using vibration sensors is promising but limited by data from healthy subjects.
• Existing systems struggle with extreme physiological ranges (infants, arrhythmia) and lack understanding of cardiorespiratory vibration mechanisms.

Purpose of the Study:

• To develop a programmable cardiorespiratory testbed for generating realistic vital sign signals across wide physiological ranges.
• To improve understanding of cardiorespiratory vibration dynamics.
• To enable robust algorithm development for non-invasive vital signs monitoring.

Main Methods:

• A programmable cardiorespiratory testbed using a voice coil motor and Raspberry Pi control circuit was developed.
• The system generates both heart rate (HR: 40-240 bpm) and respiratory rate (RR: 8-40 bpm) signals from a single vibration source.
• Signal processing algorithms were designed and tested using the synthetic data.

Main Results:

• Synthetic cardiorespiratory signals showed a strong correlation (0.85) with data from 75 human subjects.
• The developed algorithms demonstrated robustness for vital signs monitoring across extreme physiological ranges.
• The testbed facilitated enhanced understanding of cardiorespiratory vibration dynamics.

Conclusions:

• The programmable cardiorespiratory testbed effectively generates realistic vital sign signals for research and development.
• This system accelerates the collection of diverse physiological data, crucial for advancing contactless monitoring technologies.
• The findings support the clinical adoption of vibration-based vital signs monitoring systems.