Motion　artifacts　can　cause　baseline　shifts　and　disrupt　the　waveform　of　the　ECG　signal.　There　will　be　a　serious　impact　on　the　diagnosis　when　motion　artifacts　not　removed.　In　this　paper,　a　two-stage　adaptive　filter　is　proposed.　In　the　first　stage,　the　reference　ECG　signals　are　measured　under　static　status,　and　the　noise　signals　also　be　obtained.　The　obtained　noise　signals　become　reference　signals　for　the　second　stage,　and　finally　the　desired　ECG　signal　obtained.　The　experimental　results　show　that　the　two-stage　adaptive　filter　can　filter　out　the　noise　of　0.　1sim　10mathrm{Hz}　in　the　ECG　signal　which　containing　motion　artifacts　well.　©　2019　IEEE.