Local　muscle　fatigue　(LMF)　is　a　common　physiological　phenomenon　that　occurs　in　daily　exercise　training　and　medical　rehabilitation.　Without　timely　treatment　it　can　easily　lead　to　muscle　spasm,　ligament　rupture,　and　even　stress　fractures.　Electrical　impedance　myography　(EIM)　is　a　noninvasive　bioelectrical　impedance　technique　suitable　for　the　wearable　LMF　monitoring　anytime　and　anywhere.　In　this　paper,　a　novel　EIM　electrode　configuration　was　proposed　by　establishing　a　four-layer　simulation　model　of　the　human　upper　arm　in　FEM　software.　Sensitivity　parameters　were　introduced　to　optimize　muscle　selectivity.　The　effect　of　fat　thickness　on　impedance　change　rate　was　explored　to　reduce　the　influence　of　individual　fat　differences　on　EIM　results.　Dynamic　and　static　contraction　experiments　of　muscle　fatigue　were　performed　on　the　biceps　brachii　muscles　of　10　volunteers　to　verify　the　effectiveness　and　feasibility　of　the　proposed　electrode　configuration.　The　proposed　electrode　configuration　reduced　the　measurement　area　by　25%,　whereas　the　impedance　amplitude　and　sensitivity　remained　the　same.　The　influence　of　individual　fat　differences　on　EIM　results　was　significantly　reduced.　When　the　fat　thickness　increased　from　6　mm　to　18　mm,　the　impedance　change　decreased　by　31.78%　compared　with　the　traditional　electrode　configuration.　When　the　muscles　were　extremely　exhausted,　the　decrease　in　resistance　varied　around　10　Omega　and　within　10(-1)　order　of　magnitude　in　different　volunteers.　In　a　word,　the　proposed　electrode　configuration　effectively　evaluated　the　degree　of　LMF,　providing　more　feasibility　for　the　design　of　wearable　devices.