Title: Extraction of best set of parameters derived from electroencephalogram for the prediction of awake and sleeps state of the patient

Authors: Sanjeev Kumar; Amod Kumar; Anjan Trikha; Sneh Anand

Addresses: Central Scientific Instruments Organisation, Sector 30, Chandigarh 160 030, India. ' Central Scientific Instruments Organisation, Sector 30, Chandigarh 160 030, India. ' Department of Anaesthesia, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110 029, India. ' Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi 110 016, India

Abstract: The study describes a best set of parameters of electroencephalogram (EEG) for prediction of awake and anaesthetic sleep state of the patient during halothane anaesthesia. After obtaining the proper approval of hospital ethics committee and written consent from the patients, EEG data of 60 patients were recorded in normal awake and anesthetised sleep state. The recorded EEG data of all patients in each state was partitioned into different epochs of four-second duration. Algorithms were written to compute the 21 identified parameters of EEG, which are known to vary with variation in anaesthetic drug. Principal component analysis (PCA) is applied on these 21 parameters of EEG to find out the best parameters. Three parameters were identified which distinguish the awake and anesthetised sleep state of the patient. By using these identified parameters, whole data is divided into two different groups, i.e., training data and testing data. Artificial neural network (ANN) was trained with training data and target matrix. On testing with unknown epochs of testing data, this artificial neural network (ANN) has given 100% accuracy for the prediction of the state of the patient.

Keywords: electroencephalograms; EEG; depth of anaesthesia; DoA; principal component analysis; PCA; anaesthetic sleep state; patient wakefulness; awake state; halothane anaesthesia; artificial neural networks; ANNs.

DOI: 10.1504/IJMEI.2012.050275

International Journal of Medical Engineering and Informatics, 2012 Vol.4 No.4, pp.343 - 350

Published online: 11 Aug 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article