Abstract
Schizophrenia is a mental disorder where the patient experience changes in thought process, behavior and emotion. The changes listed above occur due to chemical imbalance in brain. Due to the nature of the disorder, the patients confront the family members about the things they hear and hallucinate. Initially, the family members deny to queries made by patient and later the responses evolve into anger and quarrel. The family members often lack awareness about schizophrenia disorder. Hence, there is a need to diagnose auditory hallucination at early stage. The auditory hallucination alters the EEG signal in ear. EEG sensor is designed and the same place behind the ear lobe to acquire the change in EEG pattern. For study the EEG pattern, acquire for normal and schizophrenia person while watching different videos namely funny video and horror video. The EEG signal acquire during movie watching task and transmit EEG to the base station through wireless sensor network for the wavelet analysis and classification to evaluate the efficiency of data transmission in various routing algorithms such as AODV and DSR and co channel interference of spread spectrum modulation address.
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Nithya, V., Ramesh, G.P. (2020). Wireless EAR EEG Signal Analysis with Stationary Wavelet Transform for Co Channel Interference in Schizophrenia Diagnosis. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_27
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DOI: https://doi.org/10.1007/978-3-030-32644-9_27
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