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Sahoo, Sudarsan
- Investigation of the Effect of Video Game Play on Cognitive Behaviour using Adaptive Noise Cancellation and Wavelet Transform
Authors
1 KIIT University, Bhubaneswar – 751024, Odisha, IN
Source
Indian Journal of Science and Technology, Vol 10, No 27 (2017), Pagination:Abstract
This work shows the effect on cognitive performance while playing action video game based on the beta waves variation. The Present work initially shows the Signal to Noise Ratio (SNR) improvement by using an adaptive noise cancellation technique for suppressing the noise, here is to eliminate the ECG artifact from noisy EEG signal and then the wavelet analysis of EEG signals is done to study the brain activity. EEG signal is acquired experimentally from the subject by using the 10-20 system of electrode placement. In first stage the adaptive noise cancellation technique is implemented with the help of an adaptive filter to remove the artifact and hence to improve the signal to noise ratio (SNR). The adaptive algorithm used for the filter is the LMS which is a FIR based digital filter. A synthetic signal is also simulated to give a concept of the effect of the proposed active noise cancellation method to remove the noise or artifact. Synthetic signal analysis shows the suitability of the adaptive noise cancellation technique which is a de-noising tool, and here the de-noised signal is the error signal. Then in second stage, the de-noised signal is processed and the Wavelet Transform is used to provide the information of the β-activity. EEG signals from the frontal and parietal lobes are recorded and the effect is analyzed as the frontal and parietal lobe is associated with reasoning, planning, problem solving and orientation, recognition and perception of stimuli respectively. However, the presence of artifacts like electrocardiogram(ECG) in the EEG signal is a major problem in the study of brain activity. Though it is needed to record cerebral signals, it also records the signals that are not of cerebral origin called artifacts. Artifact removal from EEG signals is essential for better analysis and diagnosis. The EEG signal acquired from a patient is generally noisy and non-stationary by nature. So an adaptive noise cancellation technique is used to remove the artifact and hence the signal to noise ratio of the acquired EEG signal is improved. The EEG signal alone, is acquired from the subject and is used as the reference signal in the ANC noise cancellation technique to get the de-noise EEG signal. Then the de-noised signal is processed and the Wavelet Transform (WT) is used to provide the information of the β-activity. Experiments reveal that the proposed ANC method of noise or artifact removal along with the Wavelet Transform can be used to provide a clear information of the β-activity during the action video game play. The increase in the Beta activity in the eleventh hour of game play than the game play of the first hour indicates increase in cognition due to training in action video game play.Keywords
Artifacts, Adaptive Filter, Wavelet Transform, ANC, ECG, EEG- Hospital Sector Reform through Human Resource Management:A Study On India
Authors
1 Institute of Business and Computer Studies, Siksha ‘O’ Anusandhan Deemed to be University, IN
2 Institute of Business and Computer Studies, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, IN
3 Symbiosis Institute of Business Management, Hosur Road, Bangalore, Constituent of Symbiosis International (Deemed University), IN
Source
Indian Journal of Public Health Research & Development, Vol 10, No 12 (2019), Pagination: 179-182Abstract
Purpose: The goal of the paper is to evaluate the human asset measurement of national wellbeing mission in India. It intends to report and investigate human asset administration (HRM) practices and make proposals to enhance representative and wellbeing framework results.
Method: The paper draws from a substantial report that utilized a blended techniques way to deal with evaluate execution of India’s Ministry of Health (MoH). It utilizes information gathered through record examination and top to bottom meetings of key witnesses involving approach creators, ranking staff of NHM and its partner associations and doctor’s facilities.
Findings: Public wellbeing segment HRM in India has discovered deficient arranging, poor organization and underutilization of staff. Absence of far reaching maintenance procedures and poor working conditions added to the inability to draw in and hold talented faculty.
Suggestion: Associations with both formal and casual conditions influenced HRM execution.While report audit was a noteworthy wellspring of information for this paper the shortcoming in the HRIS constrained accessibility of information. This exploration gives a framework–wide arrangement way to deal with wellbeing HRM in India.It adds to the writing and confirmation expected to control HRM approach choices and practices.