Driving　distraction　is　a　task　affected　by　an　increasing　number　of　Driving　Assistance　Systems,　which　have　been　a　main　reason　of　traffic　accident.　Understanding　the　nature　of　driver　distraction　and　to　find　a　way　to　analysis　the　driver　distraction　we　can　reduce　the　traffic　accident.　This　chapter　applied　the　electrocardiography　(ECG)　for　identifying　driving　situation.　ECG　data　such　as　heart　rate　variability　(HRV),　QRS　wave　were　used　to　represent　driving　distraction,　the　method　of　sample　entropy　used　to　indicate　the　difference　between　normal　driving　and　driving　distraction.　The　data　have　interviewed　34　subjects　during　two　weeks　based　on　driving　simulation　experiment.　The　result　showed　that　sample　entropy　of　ECG　data　on　distracted　driving　is　higher　than　that　on　normal　driving.　Especially,　the　driver　who　send　message　during　driving　has　the　biggest　difference　in　sample　entropy.　Driver’s　QRS　waveform　showing　a　greater　degree　of　confusion　on　the　distracted　driving.　©　Springer　Nature　Singapore　Pte　Ltd.　2019.