The　first　generation　of　omni-directional　M-mode　echocardiography　system　is　able　to　extract　implied　motion　information　from　sequential　echocardiography　images.　However,　in　recent　years,　there　has　been　an　increasing　demand　in　clinical　practice　for　more　precise　dynamic　motion　information　and　research　into　the　second-generation　of　omni-directional　M-mode　echocardiography　systems　has　focused　on　how　to　achieve　this　greater　precision.　Two　possible　approaches　are　to　improve　the　acquisition　precision　of　echocardiography　and　to　improve　the　extraction　accuracy　of　motion　curves.　Firstly,　we　describe　the　use　of　a　model　for　separation　of　cardiac　＇non-functional＇　movement,　in　the　design　of　a　particle　swarm　optimization　(PSO)　algorithm　to　track　and　analyze　the　heart　feature　points,　in　order　to　achieve　improved　omni-directional　M-mode　echocardiography　using　tracking　sampling　lines.　We　then　present　the　design　of　a　new　method　for　heart　motion　curve　extraction,　based　on　the　idea　of　multi-scale　analysis　and　wavelet　transformation,　which　can　suppress　image　noise　effectively　and　thereby　reduce　the　need　for　manual　intervention.　Experimental　evaluation　indicated　that　these　techniques　produce　more　effective　results　than　the　first　generation　omni-directional　M-mode　echocardiography　system.　©　2016　Elsevier　B.V..