PROCESS AND TECHNIQUES FOR PORTABLE, ELECTROENCEPHALOGRAPHY (EEG) BASED PAIN CLASSIFICATION AND MONITORING TOWARDS DIAGNOSTICS

摘要

Disclosed is a system using electroencephalography (EEG), for the classification of pain sensations as pain type (such as neuropathic, somatic etc.; location of pain etc.), and intensity towards a diagnostic aid, composed of a device which is portable, and consisting of at least one electrode, transmission module (Bluetooth/Wi-Fi), and a classifier system to be used with a linked computing device, like a smart phone. Raw bioelectric data is processed, de-noised and classified. Pain signatures are constructed from a normative database, comprising of annotated EEG data of pain and non-pain states of individuals with pain associated diagnosed conditions and normal controls, subjected to training, testing and validation for the purpose of identification of pain states in individuals towards a diagnostic aid. The output requires no specialist for result interpretation, may be linked to an alarm system, and is displayed as the subject™s pain state on a GUI.