This　paper　presents　a　method　to　remove　ocular　artifacts　from　electroencephalograms　(EEGs)　which　can　be　used　in　biomedical　analysis　in　portable　environment.　An　important　problem　in　EEG　analysis　is　how　to　remove　the　ocular　artifacts　which　wreak　havoc　among　analyzing　EEG　signals.　In　this　paper,　we　propose　a　combination　of　Wavelet　Transform　with　effective　threshold　and　adaptive　filter　which　can　extract　the　reference　signal　according　to　ocular　artifacts　distributing　in　low　frequency　domain　mostly,　and　adaptive　filter　based　on　Least　Mean　Square　(LMS)　algorithm　is　used　to　remove　ocular　artifacts　from　recorded　EEG　signals.　The　results　show　that　this　method　can　remove　ocular　artifacts　and　superior　to　a　comparison　method　on　retaining　uncontaminated　EEG　signal.　This　method　is　applicable　to　the　portable　environment,　especially　when　only　one　channel　EEG　are　recorded.　©　2014　Springer　International　Publishing.