TY - JFULL AU - Shweta Singh and Dipali Bansal and Rashima Mahajan PY - 2014/4/ TI - Real Time Acquisition and Psychoacoustic Analysis of Brain Wave T2 - International Journal of Health and Medical Engineering SP - 138 EP - 143 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9997643 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 87, 2014 N2 - Psychoacoustics has become a potential area of research due to the growing interest of both laypersons and medical and mental health professionals. Non invasive brain computer interface like Electroencephalography (EEG) is widely being used in this field. An attempt has been made in this paper to examine the response of EEG signals to acoustic stimuli further analyzing the brain electrical activity. The real time EEG is acquired for 6 participants using a cost effective and portable EMOTIV EEG neuro headset. EEG data analysis is further done using EMOTIV test bench, EDF browser and EEGLAB (MATLAB Tool) application software platforms. Spectral analysis of acquired neural signals (AF3 channel) using these software platforms are clearly indicative of increased brain activity in various bands. The inferences drawn from such an analysis have significant correlation with subject’s subjective reporting of the experiences. The results suggest that the methodology adopted can further be used to assist patients with sleeping and depressive disorders. ER -