Finite Impulse Response Filter for Electroencephalogram Waves Detection

Electroencephalographic data signals consist of electrical signal activity with several characteristics, such as non-periodic patterns and small voltage amplitudes that can mix noise making it difficult to recognize. This study uses types EEG wave signals, namely Delta, Alpha, Beta, Gamma. The method we use in this is the application an impulse response filter replace obtained before after FIR applied. In addition, also analyzed quality electroencephalographic waves by looking at addition ratio value. end, results get applying filter, occurs some shows better results.