Due　to　the　COVID-19　global　pandemic,　there　is　more　need　for　remote　patient　care,　especially　in　rehabilitation　requiring　direct　contact.　However,　traditional　Chinese　rehabilitation　technologies,　such　as　gua　sha,　often　need　to　be　implemented　by　well-trained　professionals.　To　automate　and　professionalize　gua　sha,　it　is　necessary　to　record　the　nursing　and　rehabilitation　process　and　reproduce　the　process　in　developing　smart　gua　sha　equipment.　This　article　proposes　a　new　signal　processing　and　sensor　fusion　method　for　developing　a　piece　of　smart　gua　sha　equipment.　A　novel　stabilized　numerical　integration　method　based　on　information　fusion　and　detrended　fluctuation　analysis　(SNIF-DFA)　is　performed　to　obtain　the　velocity　and　displacement　information　during　the　gua　sha　operation.　The　experimental　results　show　that　the　proposed　method　outperforms　the　traditional　numerical　integration　method　with　respect　to　information　accuracy　and　realizes　accurate　position　calculations.　This　is　of　great　significance　in　developing　robots　or　automated　machines　that　reproduce　the　nursing　and　rehabilitation　operations　of　medical　professionals.　　©　2001-2012　IEEE.