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Abstract
A psychiatrist relies on visual based analysis methods for the diagnosis of EEG. This visual based method have very less speed of acquisition and analysis. As there is no established specific relationship for EEG diagnosis the psychiatrist encounters many problems. Also human errors may arise at the time of observation, calculation and recording. To overcome these problems computers are widely used for diagnosis purpose. In this article we have discussed the computerised EEG analyser which monitors EEG, displays it on the computer screen, records the EEG, calculates the frequency and shape of the wave of which it is composed. The computer keeps a record of the case history of the patient. Also it may help the psychiatrist for diagnosis purpose.
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Notes on contributors
S A Patil
S A Patil, has obtained his BE (Electronics) degree in 1987 & ME (Electronics) in 1995 from Shivaji University, Kolhapur (Maharashtra). Presently, he is doing his PhD in Electronics Engineering. His research topic is “ANN for Analysis of EEG, K-Complex detection & Identification of EEG power Spectra”.
He is working as Assistant Professor & Head of Electronics Engg Department in Rajarambapu Institute of Technology, Rajaramnagar (Maharashtra) since 1987. He has published/presented more than 20 technical papers in various national level conferences and journals. His areas of interest are neural network based biomedical signal processing, artificial intelligance, and computerised automated systems.
He is life member of ISTE, BMESI & IE.
S P Patil
S P Patil, received BE (Electronics) in 1987 and ME (Electronics) in 1993 from Shivaji University, Kolhapur (Maharashtra).
He has eleven years of teaching experience. Presently working as Assistant Professor in Electronics Engineering in Rajarambapu Institute of Technology, Rajaramnagar (Sangli) & Head of Electrical Department. He is doing his PhD in electronics Engg. The topic of research is, “Neural Network Architecture for Automated Classification of Electromyograms”. He has more than 20 technical papers on his credit presented/published in national level conferences/journals. His areas of interest are biomedical signal processing, neural networks, fuzzy logic and microprocessor applications.
He is life member of ISTE, BMESI & IE.