In　brain　motor　control,　the　multi-scale　functional　cortical　muscle　coupling　(FCMC)　characteristics　between　the　electroencephalography　(EEG)　and　electromyography　(EMG)　signals　can　reflect　the　functional　connection　between　cortex　and　muscle.　To　analyze　FCMC　accurately,　this　paper　first　performs　consistent　empirical　Fourier　decomposition　on　EEG　and　EMG　signals.　The　decomposition　boundaries　are　set　according　to　EEG　functional　frequency　bands,　and　then　the　zero-phase　filter　sets　are　constructed,　in　order　to　obtain　the　consistent　functional　frequency　bands　for　the　decomposition.　After　the　decomposition,　the　FCMC　is　analyzed　by　using　transfer　entropy.　Two　motor　experiments,　knee-jerk　reflex　and　inhibited　knee-jerk　reflex　are　performed　to　test.　Experiment　results　show　that　the　most　significant　for　coupling　intensity　is　in　the　β-band　(14-35　Hz)　to　all　subjects.　The　coupling　intensity　in　EMG→　EEG　direction　is　higher　than　that　in　the　EEG→EMG　direction　in　the　knee-jerk　reflex　experiment.　While　the　opposite　result　is　obtained　in　the　inhibited　knee-jerk　reflex　experiment.　The　consistent　empirical　Fourier　decomposition　transfer　entropy　proposed　in　this　paper　is　not　only　an　accurate　coupling　analysis　method,　but　also　can　solve　the　frequency　band　inconsistency　problem　in　the　multi-frequency　band　coupling　analysis　of　two　signals　and　make　the　coupling　analysis　more　accurate.　©　2022　IEEE.