Uterine　contraction　(UC)　is　an　important　clinical　indictor　for　monitoring　uterine　activity.　The　purpose　of　this　study　is　to　develop　a　portable　electrohysterogram　(EHG)　recording　system　(called　PregCare)　for　monitoring　UCs　with　EHG　signals.　The　PregCare　consisted　of　sensors,　a　signal　acquisition　device,　and　a　computer　with　application　software.　Eight-channel　EHG　signals,　the　tocodynamometry　(TOCO)　signal,　and　maternal　perception　were　recorded　simultaneously　by　the　signal　acquisition　device　controlled　by　the　computer　via　Bluetooth.　PregCare　was　firstly　evaluated　by　a　signal　simulator.　Its　relative　error　(RE)　and　coefficient　of　variation　(CV)　were　calculated,　and　its　agreement　with　the　commercial　instrument　PowerLab　was　assessed　by　Bland-Altman　plots.　After　that,　PregCare　was　applied　to　20　pregnant　women　in　a　hospital　to　record　their　EHG　signals.　These　EHG　signals　were　preprocessed　and　segmented　into　UCs　and　non-UCs.　Then,　the　EHG　features　corresponding　to　UCs　and　non-UCs　were　extracted,　respectively,　including　power　spectral　density　(PSD),　root　mean　square　(RMS),　peak　frequency　(PF),　median　frequency　(MDF),　and　sample　entropy　(SamEn).　One-way　ANOVA　was　employed　to　assess　the　difference　between　UCs　and　non-UCs.　The　results　show　that　RE　and　CV　were　less　than　8%　and　0.03%,　respectively,　which　indicated　the　high　accuracy　and　repeatability　of　PregCare.　The　small　differences　of　mean　and　standard　deviation　indicated　the　high　agreement　between　PregCare　and　PowerLab.　Besides,　the　PSD　of　UCs　was　much　larger　than　non-UCs　between　0　and　0.7Hz.　RMS　of　UCs　was　significantly　larger　than　non-UCs　(p＜0.05).　PF　and　SamEn　of　UCs　were　significantly　smaller　than　non-UCs　(p＜0.05).　In　conclusion,　the　developed　EHG　recording　system　was　able　to　record　EHG　signals　reliably.　It　has　the　advantages　of　portability,　low　power　consumption,　and　wireless　transmission,　which　can　be　used　for　long-term　monitoring　of　UCs　and　prediction　of　the　preterm　delivery.