In order to solve the endpoint effect and modal aliasing problem of Extreme-point Symmetric Mode Decomposition (ESMD) algorithm, an improved energy entropy-based ESMD signal detection method is proposed, which uses extreme value symmetric midpoint interpolation. Instead of ESMD's original internal pole-symmetric interpolation, the endpoint drift and modal distortion caused by cubic spline interpolation are alleviated, and the modal energy relative value and energy entropy increment are combined to identify the false modal component. The simulation results show that the proposed method can not only suppress the end effect, but also obtain the information of each frequency signal contained in the signal. It can also identify the false mode and achieve better decomposition effect, and verify the effectiveness of the proposed method.