Total views : 77
Investigation of the Effect of Video Game Play on Cognitive Behaviour using Adaptive Noise Cancellation and Wavelet Transform
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.
Artifacts, Adaptive Filter, Wavelet Transform, ANC, ECG, EEG
- Luciano Gamberini, Giacinto Barresi, Alice Majer, Fabiola Scarpetta. A Game a Doctor keeps doctor away: A short review of computer games in mental healthcare. Journals of Cyber Therapy and Rehabilitation, Summer. 2008; 1(2).
- Joaquin A Anguera, Adam Gazzaley. Videogames, Cognitive exercises and the enhancement of cognitive abilities, current opinion in behaviorial sciences. 2015 August; 4:160-5.
- Sheikholeslami C, Yuan H, He EJ, Bai X, Yang L, He B. A High Resolution EEG Study of Dynamic Brain Activity during Video Game Play. 2007 Conference on Proceedings of the IEEE Engineering in Medicine and Biology Society.2007; 2007:2489-91.
- Chisholm Joseph D, Hickey Clayton, Theeuwes Jan and Kingstone A. Reduced attentional capture in action video game players. Attention, Perception and Psychophysics.2010; 72(3):667-71. Crossref PMid:20348573.
- Corbetta M and Sulman GL. Humancortical mechanisms of visual attention during orienting and search. Philosophical Transactions of the Royal Society of London B: Biological Sciences. 1998; 353(1373):1353-62. Crossref PMid:9770228 PMCid:PMC1692334.
- Wilson KD, Woldorff MG and Mangun GR. Control networks and hemispheric asymmetries in parietal cortex during attentional orienting in different spatial reference frames. Neuroimage. 2005; 25(3):668-83. Crossref PMid:15808968.
- Badre D and Wagner AD. Selection, integration, and conflict monitoring; assessing the nature and generality of prefrontal cognitive control mechanisms. Neuron. 2004; 41(3):473-87. Crossref
- Sadasivan PK and Narayma Dutt D. A nonlinear estimation model for adaptive minimization of EOG artifacts from EEG signals. International Journal of Biomedical Computing.1994; 36(3):199-207.
- Haykin S. New Jersey: Prentice-Hall: Adaptive Filter Theory.2002; ISBN 978-012-374538-5. PMid:12487794.
- Albarbar A, Gu F, Ball AD, Starr A. Acoustic monitoring of engine fuel injection based on adaptive filtering techniques.Applied Acoustics. 2009; 70:247-55.
- Jena DP, Sudarsan Sahoo, Panigrahi SN. Gear Fault Diagnosis using Active Noise Cancellation and Adaptive Wavelet Transform. Measurement. 2014 January; 47:356-72.Crossref
- Liao CW, Lin JY. New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance. Automatica. 2007; 43:325-31.Crossref
- Kankar PK, Sharma SC, Harsha SP. Fault diagnosis of ball bearings using continuous wavelet transform. Applied Soft Computing. 2011; 11:2300-12. Crossref
- Shawn Green C, Daphne Bavelier. Action video game training for cognitive enhancement. Current Opinion in Behavioral Sciences. 2015 Aug; 4:103-8. Crossref
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.