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A successive variational mode extraction method based on spectrum trend and its application in non‐contact vital sign detection
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A successive variational mode extraction method based on spectrum trend and its application in non‐contact vital sign detection
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Journal Article
A successive variational mode extraction method based on spectrum trend and its application in non‐contact vital sign detection
2024
Overview
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. This letter proposes a successive variational mode extraction method based on spectrum trend for the extraction of respiration and heartbeat signals. The method determines the initial centre frequency and extraction order of the desired modes based on the spectrum trend information of the input signal, and introduces a recursive framework to extract the desired modes sequentially. Experimental results show that the method improves the extraction accuracy of respiration and heartbeat signals.
Publisher
Wiley
Subject
