Research Article
Passive Fetal Movement Signal Detection System Based on Intelligent Sensing Technology
Algorithm 2
FM signal sparse detection.
| Input: the preprocessed FM signal Si, , dictionary Dk, k = 1, 2, and sparsity T0. | | Output: identify the class Li, . | | Sparse FM recognition using the OMP algorithm. | | for | | for | | while | | Initialise the number of iterations t = 1. Residual r0 = Si. Index set U0 = Ø. D = Dk. | | Find the index λt corresponding to the maximum value of the product within each atom of the residue rt−1 and the dictionary D, denoted as . | | Update the index set Ut = Ut−1∪λt. Reconstruct the dictionary . | | is obtained using least-squares calculations. | | Update the residuals . | | end while | | Buffered sparse residuals ek = rt. | | end for | | If e1 < e2, identify as FM Li = 1; otherwise, identify as non-FM Li = 0. | | end for |
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