To　investigate　the　relationship　between　handgrip　level　and　characteristics　of　surface　electromyogram　(sEMG)　signal　from　forearm　muscles,　a　measurement　system　for　sEMG　and　handgrip　force　based　on　LabVIEW　was　developed.　Seven　healthy　participants　performed　handgrip　maximal　voluntary　contractions　(MVCs),　80%　MVC,　60%　MVC,　40%　MVC　and　20%MVC　three　times　at　each　force　level　with　left　hand　and　right　hand　in　turn.　sEMG　signal　and　handgrip　force　were　detected　and　recorded　simultaneously　with　EMG-Force　am-plifier　and　LabVIEW.　Power　spectrum　of　the　EMG　during　handgrip　was　analyzed　in　each　of　the　force　level.　There　exists　positive　correlation　between　handgrip　level　and　the　power　of　sEMG,　the　stronger　handgrip　the　greater　sEMG　characteris-tics　for　every　participant　with　both　hands.　The　left　hand　MVC　is　significantly　lower　than　the　right　hand　for　the　right-handed　participants.　The　results　suggest　that　sEMG　can　be　used　to　predict　grip　force　non-invasively　for　measuring　motor　function　and　assessing　the　motor　function　rehabilitation.　©　2009　Springer-Verlag.