3.8 Proceedings Paper

Non-Contact Vital Sign Monitoring With a Metamaterial Surface

Publisher

IEEE
DOI: 10.1109/IMBIOC52515.2022.9790159

Keywords

biological radar; physiological sensing; spoof surface plasmons; vital sign monitoring

Funding

  1. N.1 Institute for Health
  2. Institute for Health Innovation and Technology (iHealthTech)
  3. Advanced Research and Technology Innovation Centre (ARTIC)
  4. SIA-NUS Digital Aviation Corporate Laboratory at the National University of Singapore

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Vital sign monitoring is crucial for assessing an individual's health, and non-contact sensing methods using wireless technology offer a comfortable and convenient alternative. This study presents an integrated system based on microwave metamaterials and software-defined Doppler radar for non-contact vital sign monitoring through clothing. Experimental results demonstrate the system's accuracy in respiration and cardiac sensing, compared to electrocardiography as the gold standard.
Vital sign monitoring is important for determining the health status and well-being of an individual. Despite their high level of accuracy, clinical sensing methods for vital signs, such as heart or respiration signals, often require direct skin contact and the use of wires, making them restrictive and inconvenient. In contrast, alternative sensing approaches using wireless means can be comfortable for users and are suitable for long-term, continuous health monitoring scenarios. Recent advances in physiological sensing using Doppler radars present great potential for non-contact vital sign monitoring, but face many challenges due to background clutter and large body motions. In this work, we develop an integrated system for non-contact vital sign monitoring based on microwave metamaterials and software-defined Doppler radar. Our sensor is thin, flexible, and able to monitor health through clothing. We demonstrate our system's capability in respiration and cardiac sensing through experiments on a healthy volunteer and validate its cardiac sensing accuracy against electrocardiography as the gold standard. Validation results show a Pearson's correlation coefficient r approximate to 0.9 and Bland-Altman agreement limits of +/- 37.1 ms between our sensor's and the gold standard's estimation of heart beat-to-beat intervals.

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