Harmonics and Intermodulation Products-Based Fuzzy Logic(Hipbfl) Algorithm for Vital Sign Frequency Estimation Using a Uwb Radar

Jing, Fangfei; Liang, Jing; Wang, Yizhu; Chen, Peng

doi:10.2139/ssrn.4188732

Cited by 1 publication

(1 citation statement)

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“…The UWB radar echo is used to extract chest movement signal caused by human respiration and heartbeat activity. This signal is then analyzed to extract respiration and heartbeat signals and estimate their frequencies [3,4]. However, the frequencies of the respiration and heartbeat signals are very close, rendering the weak heartbeat signal susceptible to being masked by the respiration signal.…”

Section: Introductionmentioning

confidence: 99%

A successive variational mode extraction method based on spectrum trend and its application in non‐contact vital sign detection

Zhao,

Sheng,

et al. 2024

Electronics Letters

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Detecting respiration and heartbeat information from human chest movement is crucial for non‐contact vital sign detection. Due to the small frequency difference between respiration and heartbeat signals and the relatively low amplitude of the heartbeat signal, it is challenging to separate and extract them completely. This letter proposes a successive variational mode extraction method based on spectrum trend for the extraction of respiration and heartbeat signals. The proposed method adaptively determines the initial centre frequency and extraction order of the desired signal modes by analyzing the spectrum trend of the signal to be decomposed. Additionally, a recursive framework is introduced to sequentially extract the desired signal modes. Both simulation and practical experiment results show that the method is effective in extracting respiration and heartbeat signals, significantly improving the accuracy of estimating respiration and heartbeat frequencies.

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Section: Introductionmentioning

confidence: 99%