Noise estimation in electroencephalogram signal by using volterra series coefficients
The Volterra model is widely used for nonlinearity identification in practical applications. In this paper, we employed Volterra model to find the nonlinearity relation between electroencephalogram (EEG) signal and the noise that is a novel approach to estimate noise in EEG signal. We show that by e...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2015-01-01
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| Series: | Journal of Medical Signals and Sensors |
| Subjects: | |
| Online Access: | http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2015;volume=5;issue=3;spage=192;epage=200;aulast=Hassani |
| _version_ | 1811326234723876864 |
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| author | Malihe Hassani Mohammad Reza Karami |
| author_facet | Malihe Hassani Mohammad Reza Karami |
| author_sort | Malihe Hassani |
| collection | DOAJ |
| description | The Volterra model is widely used for nonlinearity identification in practical applications. In this paper, we employed Volterra model to find the nonlinearity relation between electroencephalogram (EEG) signal and the noise that is a novel approach to estimate noise in EEG signal. We show that by employing this method. We can considerably improve the signal to noise ratio by the ratio of at least 1.54. An important issue in implementing Volterra model is its computation complexity, especially when the degree of nonlinearity is increased. Hence, in many applications it is urgent to reduce the complexity of computation. In this paper, we use the property of EEG signal and propose a new and good approximation of delayed input signal to its adjacent samples in order to reduce the computation of finding Volterra series coefficients. The computation complexity is reduced by the ratio of at least 1/3 when the filter memory is 3. |
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| format | Article |
| id | doaj.art-e0ef1b44526b4af280203a08da1075bb |
| institution | Directory Open Access Journal |
| issn | 2228-7477 |
| language | English |
| last_indexed | 2024-04-13T14:46:32Z |
| publishDate | 2015-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Medical Signals and Sensors |
| spelling | doaj.art-e0ef1b44526b4af280203a08da1075bb2022-12-22T02:42:44ZengWolters Kluwer Medknow PublicationsJournal of Medical Signals and Sensors2228-74772015-01-015319220010.4103/2228-7477.161495Noise estimation in electroencephalogram signal by using volterra series coefficientsMalihe HassaniMohammad Reza KaramiThe Volterra model is widely used for nonlinearity identification in practical applications. In this paper, we employed Volterra model to find the nonlinearity relation between electroencephalogram (EEG) signal and the noise that is a novel approach to estimate noise in EEG signal. We show that by employing this method. We can considerably improve the signal to noise ratio by the ratio of at least 1.54. An important issue in implementing Volterra model is its computation complexity, especially when the degree of nonlinearity is increased. Hence, in many applications it is urgent to reduce the complexity of computation. In this paper, we use the property of EEG signal and propose a new and good approximation of delayed input signal to its adjacent samples in order to reduce the computation of finding Volterra series coefficients. The computation complexity is reduced by the ratio of at least 1/3 when the filter memory is 3.http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2015;volume=5;issue=3;spage=192;epage=200;aulast=HassaniElectroencephalogram signalnoise estimationVolterra model |
| spellingShingle | Malihe Hassani Mohammad Reza Karami Noise estimation in electroencephalogram signal by using volterra series coefficients Journal of Medical Signals and Sensors Electroencephalogram signal noise estimation Volterra model |
| title | Noise estimation in electroencephalogram signal by using volterra series coefficients |
| title_full | Noise estimation in electroencephalogram signal by using volterra series coefficients |
| title_fullStr | Noise estimation in electroencephalogram signal by using volterra series coefficients |
| title_full_unstemmed | Noise estimation in electroencephalogram signal by using volterra series coefficients |
| title_short | Noise estimation in electroencephalogram signal by using volterra series coefficients |
| title_sort | noise estimation in electroencephalogram signal by using volterra series coefficients |
| topic | Electroencephalogram signal noise estimation Volterra model |
| url | http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2015;volume=5;issue=3;spage=192;epage=200;aulast=Hassani |
| work_keys_str_mv | AT malihehassani noiseestimationinelectroencephalogramsignalbyusingvolterraseriescoefficients AT mohammadrezakarami noiseestimationinelectroencephalogramsignalbyusingvolterraseriescoefficients |