Personal universal dendrogramic holographic signature from eeg data analysis for diagnosis of neuro-psychiatric diseases

Abstract

There is provided a method of diagnosing a medical state associated with a neuro-psychiatric disorder in a subject, comprising: receiving EEG datasets from EEG electrodes monitoring a head of the subject, computing events for the EEG datasets, clustering the events into clusters, computing a p-adic representation of the clusters, extracting a p-adic topology from the p-adic representation of the clusters, computing a personal universal dendrogramic holographic signature (PUDHS) of the p-acid topology relative to a personalized threshold that separates between a relative large distance between events and a relatively small distance between events, the PUDHS denoting number of events below the personalized threshold, and diagnosing the medical state associated with the neuro-psychiatric disorder according to the PUDHS relative to a medical threshold that separates between presence of the medical state and non-presence of the medical state.