The　application　of　artificial　intelligence　to　the　diagnosis　of　ECG　is　of　great　significance.　We　combine　machine　learning　algorithm　with　deep　learning　algorithm　to　give　full　play　to　the　advantages　of　different　algorithms　by　ensemble　learning.　Finally,　we　fuse　the　selected　models　so　that　the　accuracy　of　identifying　five　kinds　of　arrhythmias　can　reach　94%.　Particularly,　the　accuracy　of　class　F　beat　which　is　difficult　to　identify　has　also　been　improved.　©　2022　IEEE.