This paper proposed an epilepsy seizure detection ASIC design using only one channel EEG signal as input. The proposed design consists of 10 sub-bands FIR filters and band energy feature extraction engines. A MAC is utilized as a linear SVM classifier. The design was fabricated in TSMC 180nm technology with a power consumption of 3.09μJ/Classification. According to experimental results, the average sensitivity is reduced by less than 10% while the area is reduced by 70%. With patient-specific configurable parameters, a higher than 90% dection sensitivity was achieved on half of the patients in the testing dataset.