Modern Tools for Noninvasive Analysis of Brainwaves: Applications in Assistive Technologies and Medical Diagnostics

Abstract

Digital signal processing is arguably one of the most important segments of any modern medical equipment. Recent advances in intelligence signal processing have married machine learning methods to traditional signal analysis and classification practices. In this talk, I will review state of the art brainwave analysis methods and our related advances in quantitative electroencephalogram (qEEG) analysis for brain computer interfaces (thought translation devices), as well as cerebral ischemia localization (e.g. for clamp monitoring during inetroperative carotid endarterectomy). The presentation will conclude with a discussion on corresponding R&D trends, especially near infrared spectroscopy (NIRS) as a new complementary modality to EEG for portable and affordable monitoring of brain functions.