In Part –II of this paper, some nonlinear oscillation based wavelets are introduced as useful for EEG analysis. Next, it is shown how a new wavelet based on the spike and wave activity picked up from a patient?s own record could be designed. With such a designed wavelet, analysis made on the normal e.e.g. record itself is able to indicate any lurking low-amplitude activity characteristic of that pathology. While photic stimulation would induce that activity in the patient and elicit a really significant large amplitude spike and wave, it is better avoided. With this method, since such an activity can be inferred in the normal (un-stimulated) record itself by the picked wavelet analysis, it provides for a safer diagnostic procedure.