This　paper　studied　on　motion　curve　optimization　of　onmi-directional　M-mode　cardiography.　A　detection　algorithm　was　designed　based　on　a　combination　of　multi-scale　integration　and　correlation　analysis　after　a　full　analysis　of　all　the　characteristic　of　onmi-directional　M-mode　cardiography.　Firstly　the　motion　curve　was　detected　by　constructing　wavelet　function　at　different　spatial　scales,　then　the　motion　curves　of　different　spatial　scales　were　integrated.　Finally　the　correct　motion　curve　was　generated　combined　with　the　cardiac　motion　information.　The　experiment　by　LEJ-2　onmi-directional　M-mode　cardiography　showed　the　algorithm　could　automatically　remove　the　false　edge,　noise　of　onmi-directional　M-mode　cardiography,　keep　accurate　and　useful　information,　thus　greatly　reduced　the　human　intervention.　The　optimal　design　of　the　state　invention　patents　＂the　onmi-directional　M-mode　cardiography　and　its　system　98　125713.5＂　was　realized.