Epilepsy,　as　a　common　brain　disease,　causes　great　pain　and　stress　to　patients　around　the　world.　At　present,　the　main　treatment　methods　are　drug,　surgical,　and　electrical　stimulation　therapies.　Electrical　stimulation　has　recently　emerged　as　an　alternative　treatment　for　reducing　symptomatic　seizures.　This　study　proposes　a　novel　closed-loop　epilepsy　detection　system　and　stimulation　control　chip.　A　time-domain　detection　algorithm　based　on　amplitude,　slope,　line　length,　and　signal　energy　characteristics　is　introduced.　A　new　threshold　calculation　method　is　proposed;　that　is,　the　threshold　is　updated　by　means　of　the　mean　and　standard　deviation　of　four　consecutive　eigenvalues　through　parameter　combination.　Once　a　seizure　is　detected,　the　system　begins　to　control　the　stimulation　of　a　two-phase　pulse　current　with　an　amplitude　and　frequency　of　34　μA　and　200　Hz,　respectively.　The　system　is　physically　designed　on　the　basis　of　the　UMC　55　nm　process　and　verified　by　a　field　programmable　gate　array　verification　board.　This　research　is　conducted　through　innovative　algorithms　to　reduce　power　consumption　and　the　area　of　the　circuit.　It　can　maintain　a　high　accuracy　of　more　than　90%　and　perform　seizure　detection　every　64　ms.　It　is　expected　to　provide　a　new　treatment　for　patients　with　epilepsy.　©　2024　by　the　authors.