Speaker
Ms
Ashmita Bose
(Institute of Physical chemistry,Polish Academy of sciences)
Description
Schizophrenia is the most common form of psychotic behaviour where patients experiences hallucination, dillusion or chaotic speech. Schizophrenia is difficult to detect and easily go undetected for years. Here we propose the idea of detecting schizophrenia by a network of interacting chemical oscillators. We optimized a classifier based on six interacting oscillator using genetic algorithm and obtained 82% accuracy of schizophrenia detection on a selected training dataset.
Keywords: Schizophrenia, EEG signal, chemical computing, oscillatory network, Oregonator model, genetic optimization
Primary author
Ms
Ashmita Bose
(Institute of Physical chemistry,Polish Academy of sciences)
Co-author
Prof.
Jerzy Gorecki
(Institute of Physical chemistry,Polish Academy of Sciences)
