Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals
Introduction Many features, emerging from mathematical techniques, have been used in the analysis of brain signals. In this study, the physical quantity of “moment of inertia” (MOI) was introduced as a feature to enhance high-frequency waves (HFWs) in electroencephalography (EEG). Materials and Meth...
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| Format: | Article |
| Language: | English |
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Mashhad University of Medical Sciences
2016-09-01
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| Series: | Iranian Journal of Medical Physics |
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| Online Access: | http://ijmp.mums.ac.ir/article_7962_944f6e45f4c5346c578ba33df4118047.pdf |
| _version_ | 1811261987595747328 |
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| author | Seyed Ali Shafiei |
| author_facet | Seyed Ali Shafiei |
| author_sort | Seyed Ali Shafiei |
| collection | DOAJ |
| description | Introduction Many features, emerging from mathematical techniques, have been used in the analysis of brain signals. In this study, the physical quantity of “moment of inertia” (MOI) was introduced as a feature to enhance high-frequency waves (HFWs) in electroencephalography (EEG). Materials and Methods In this research, the recorded EEGs from F3, F4, and Cz points in 20 males were used. A total of 30 noiseless epochs (4 sec with a 1 sec overlap) were selected for each eyes-open and eyes-closed state from each brain signal. After averaging the relative power spectrum (RPS) of 30 epochs and obtaining an RPS with low fluctuation, the MOIs of the power spectrum and each EEG band were calculated. Results The MOI enhanced the HFWs of brain signals; therefore, HFW fluctuations in the power spectrum of MOI were more evaluable and observable than those of RPS. Paired t-test showed no significant difference in the asymmetry of MOI between the eyes-open and eyes-closed states (P=0.227), while the MOIs of alpha and beta bands between these two states were significantly different [F(1, 38)=11.8; P=0.001 and F(1, 38)=12.9; P=0.001, respectively]. Conclusion This study demonstrated that the MOI of different frequency bands might be used as a feature for some patients who are different from healthy subjects in terms of high-frequency bands or performance of two hemispheres. Therefore, in order to ensure the applicability of the obtained results, evaluation of MOI for EEG of some disorders, such as attention-deficit hyperactivity disorder, alcoholism, and autism is suggested in future studies. |
| first_indexed | 2024-04-12T19:15:40Z |
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| id | doaj.art-4a8f72c74511454e900a627dea57df9f |
| institution | Directory Open Access Journal |
| issn | 2345-3672 2345-3672 |
| language | English |
| last_indexed | 2024-04-12T19:15:40Z |
| publishDate | 2016-09-01 |
| publisher | Mashhad University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Medical Physics |
| spelling | doaj.art-4a8f72c74511454e900a627dea57df9f2022-12-22T03:19:44ZengMashhad University of Medical SciencesIranian Journal of Medical Physics2345-36722345-36722016-09-0113318319210.22038/ijmp.2016.79627962Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain SignalsSeyed Ali Shafiei0Assistant Professor of Medical Physics, School of Medicine, Qom University of Medical Sciences, Qom, IranIntroduction Many features, emerging from mathematical techniques, have been used in the analysis of brain signals. In this study, the physical quantity of “moment of inertia” (MOI) was introduced as a feature to enhance high-frequency waves (HFWs) in electroencephalography (EEG). Materials and Methods In this research, the recorded EEGs from F3, F4, and Cz points in 20 males were used. A total of 30 noiseless epochs (4 sec with a 1 sec overlap) were selected for each eyes-open and eyes-closed state from each brain signal. After averaging the relative power spectrum (RPS) of 30 epochs and obtaining an RPS with low fluctuation, the MOIs of the power spectrum and each EEG band were calculated. Results The MOI enhanced the HFWs of brain signals; therefore, HFW fluctuations in the power spectrum of MOI were more evaluable and observable than those of RPS. Paired t-test showed no significant difference in the asymmetry of MOI between the eyes-open and eyes-closed states (P=0.227), while the MOIs of alpha and beta bands between these two states were significantly different [F(1, 38)=11.8; P=0.001 and F(1, 38)=12.9; P=0.001, respectively]. Conclusion This study demonstrated that the MOI of different frequency bands might be used as a feature for some patients who are different from healthy subjects in terms of high-frequency bands or performance of two hemispheres. Therefore, in order to ensure the applicability of the obtained results, evaluation of MOI for EEG of some disorders, such as attention-deficit hyperactivity disorder, alcoholism, and autism is suggested in future studies.http://ijmp.mums.ac.ir/article_7962_944f6e45f4c5346c578ba33df4118047.pdfBeta RhythmBrain WavesDigital Signal ProcessingAsymmetry |
| spellingShingle | Seyed Ali Shafiei Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals Iranian Journal of Medical Physics Beta Rhythm Brain Waves Digital Signal Processing Asymmetry |
| title | Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals |
| title_full | Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals |
| title_fullStr | Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals |
| title_full_unstemmed | Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals |
| title_short | Feasibility of the Application of Moment Of Inertia as a Feature to Study High-Frequency Bands in Brain Signals |
| title_sort | feasibility of the application of moment of inertia as a feature to study high frequency bands in brain signals |
| topic | Beta Rhythm Brain Waves Digital Signal Processing Asymmetry |
| url | http://ijmp.mums.ac.ir/article_7962_944f6e45f4c5346c578ba33df4118047.pdf |
| work_keys_str_mv | AT seyedalishafiei feasibilityoftheapplicationofmomentofinertiaasafeaturetostudyhighfrequencybandsinbrainsignals |