Noninvasive Estimation of Consciousness

This project report introduces a two non-invasive electrode based electroencephalography (EEG) scheme to pick-up the bio-potential (generated by the neuron network of human brain) for the assessment of consciousness level. With the help of a suitable algorithm (developed by us), processed in LabVIEW environment, real-time (frequency range 13-30 Hz.) is extracted (representing the consciousness level of the brain activities) from the complex bio-signal and reproduced on the computer monitor. The retrieved signal of interest is sampled for Fast Fourier Transform (FFT). The data array is further processed in MATLAB platform using Daubechies wavelet transform (dB 6, level 9) to cross check the results of interpretation of one's awareness level as obtained from LabVIEW environment. The results provided by our proposed device are in good agreements with the actual physiological actions of the subjects' brain and supported by the clinicians.

Autorentext

Tinku Biswas is presently working as an Assistant Professor in the Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim. She had graduated in AEIE from West Bengal University and Technology and secured her M.Tech from Heritage Institute of Technology. Her main area of interest is Biomedical Instrumentation.