Random Body Movement Cancellation Method for FMCW Radar Vital Sign Detection

Shang, Hui; Zhang, Xiongkui; Ma, Yihao; Li, Zi‐Chen; Jin, Cheng

doi:10.1109/icsidp47821.2019.9173434

Cited by 8 publications

(1 citation statement)

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“…While standing, the human body induces other micro motions for weight balancing that are expected to be estimated by the radar as a false respiratory rate. Some studies had a similar focus on body random movements mitigation [12], [13]. However, such techniques rely on the fact that such motions are showing behaviors different from the vital signs.…”

Section: Introductionmentioning

confidence: 99%

Radar-based Respiratory Rate Monitoring in Standing Position

Aziz¹,

Helal²,

Metwally³

et al. 2022

Preprint

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Estimating human vital signs in a contactless noninvasive method using radar provides a convenient method in the medical field to conduct several health checkups easily and quickly. In addition to monitoring while sitting and sleeping, the standing position has aroused interest for both the industrial and medical fields. However, it is more challenging due to the micro motions induced by the body for balancing that may cause false respiratory rate estimation. In this work, we focus on the measurement of the respiratory rate of a standing person accurately with the capability of heavy breath detection and estimation. Multiple estimation approaches are presented and compared, including spectral estimation, deep-learning-based approaches, and adaptive peak selection with Kalman filtering. The latest technique is showing the best performance with an absolute error rate of ≈ ±1.5 bpm, when compared to a Vernier Go Direct ® respiration belt.

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Section: Introductionmentioning

confidence: 99%