1. A method for automatically detecting, classifying, and processing oscillatory signals for use as a biomarker for a physiologic physiological event in a patient, the method comprising: detecting and classifying oscillatory signals representative of discrete physiologic events in a patient's body using a high sensitivity, low specificity detector; processing, using a processor, the detected signals by: testing the detected signals in the context of surrounding background activity to identify anomalous discrete physiologic events that are sufficiently different from the surrounding background activity; and automatically clustering said anomalous discrete physiologic events into clusters of anomalous physiologic events having correlative morphological, time, or location characteristics; determining at least one cluster of anomalous physiologic events as a biomarker indicative of at least one region of the patient's body that is associated with a medical condition; and providing treatment, using a treatment device responsive to said biomarker, of said medical condition to the at least one region of the patient's body identified by said biomarker.