A new spike feature extraction algorithm which enables realtime spike sorting and facilitates miniaturized microchip implementation is presented. The proposed algorithm has been evaluated on synthesized waveforms and experimentally recorded sequences from different animals. When compared with many spike sorting approaches our algorithm demonstrates significantly improved speed, accuracy and allows unsupervised execution. A preliminary hardware implementation has been realized using an integrated microchip interfaced with a personal computer.