The　electrogastrogram　(EGG)　can　detect　the　gastric　electromyogram　activity,　and　then　reflect　the　relative　change　of　the　rhythm　as　well　as　amplitude　of　the　slow　wave　of　the　electromyogram.　As　EGG　has　the　advantages　of　convenient,　painless,　non-invasive　and　accurate　measurement　of　gastric　electromyogram　activity,　it　can　not　only　be　used　to　evaluate　the　effects　of　gastromotor　drugs　and　gastrointestinal　hormones,　but　also　to　distinguish　healthy　people　from　functional　dyspepsia,　patients　with　gastric　cancer　and　patients　with　low　gastric　motility　according　to　the　results　of　parameter　analysis　in　EGG.　This　paper　proposes　an　EGG　signal　processing　and　classification　method　to　realize　the　potential　role　of　EGG　in　the　diagnosis　and　management　of　gastrointestinal　diseases.　First　EGG　signal　collection　was　conducted　on　normal　people　and　patients,　and　then　the　test　signal　was　described　as　accurately　as　possible　according　to　some　key　features　of　the　gastric　waveform.　Based　on　the　collected　data,　we　developed　an　indicator　that　can　classify　high-dimensional　signals　and　provide　an　indicator　that　can　distinguish　or　identify　two　kinds　of　signal-related　indicators.　In　this　way,　EGG　signals　are　associated　with　specific　conditions　for　clinical　diagnosis　of　gastrointestinal　dysrhythmia　and　even　for　efficacy　evaluation.