Abstract: Aiming at the problem of perceptual blind area when the traditional vital signs monitoring algorithm based on Channel State Information (CSI) uses the amplitude or phase information of a single subcarrier to monitor, a multi-carrier life signal detection method based on viewable method is proposed. Firstly, the correlation between adjacent subcarriers is analyzed, and a complex network with high perceptive performance between subcarriers is constructed by viewable method to achieve more accurate modeling of vital signs. Then, the corresponding network parameters are extracted by network analysis method, and the network characteristic signals are designed to represent and construct multi-carrier information. Finally, discrete wavelet transform is used to extract vital signs in the range of normal respiratory rate and heart rate, and peak detection algorithm and fast Fourier algorithm are used to estimate respiratory rate and heart rate respectively. Experimental results show that the error rate of respiratory rate and heart rate is reduced by 3.1% and 2.26% respectively compared with the traditional method using single subcarrier, and the proposed algorithm has better detection performance.