Signal refinement: principal component analysis and wavelet transform of visual evoked response
This study presents an analysis on Visual Evoked Potentials (VEPs) recorded mainly from the occipital area of the brain. Accumulation of segmented windows (time locked averaging), Coiflet wavelet decomposition with dyadic filter bank and Principle Component Analysis (PCA) of three stages were utiliz...
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| Format: | Article |
| Language: | English |
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Maxwell Scientific Publications
2015
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| Online Access: | http://eprints.utm.my/55966/1/AhmedFadhilHassoneyAlmurshedi2015_SignalRefinementPrincipleComponentAnalysis.pdf |
| _version_ | 1796860295341146112 |
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| author | Almurshedi, Ahmed Fadhil Hassoney Ismail, Abd. Khamim |
| author_facet | Almurshedi, Ahmed Fadhil Hassoney Ismail, Abd. Khamim |
| author_sort | Almurshedi, Ahmed Fadhil Hassoney |
| collection | ePrints |
| description | This study presents an analysis on Visual Evoked Potentials (VEPs) recorded mainly from the occipital area of the brain. Accumulation of segmented windows (time locked averaging), Coiflet wavelet decomposition with dyadic filter bank and Principle Component Analysis (PCA) of three stages were utilized in order to decompose the recorded VEPs signal, to improve the Signal to Noise Ratio (SNR) and to reveal statistical information. The results shown that the wavelet transformation offer a significant SNR improvement at around four times compared to PCA as long as the shape of the original signal is retained. These techniques show significant advantages of decomposing the EEG signals into its details frequency bands. |
| first_indexed | 2024-03-05T19:39:14Z |
| format | Article |
| id | utm.eprints-55966 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:39:14Z |
| publishDate | 2015 |
| publisher | Maxwell Scientific Publications |
| record_format | dspace |
| spelling | utm.eprints-559662016-11-15T06:36:38Z http://eprints.utm.my/55966/ Signal refinement: principal component analysis and wavelet transform of visual evoked response Almurshedi, Ahmed Fadhil Hassoney Ismail, Abd. Khamim Q Science (General) This study presents an analysis on Visual Evoked Potentials (VEPs) recorded mainly from the occipital area of the brain. Accumulation of segmented windows (time locked averaging), Coiflet wavelet decomposition with dyadic filter bank and Principle Component Analysis (PCA) of three stages were utilized in order to decompose the recorded VEPs signal, to improve the Signal to Noise Ratio (SNR) and to reveal statistical information. The results shown that the wavelet transformation offer a significant SNR improvement at around four times compared to PCA as long as the shape of the original signal is retained. These techniques show significant advantages of decomposing the EEG signals into its details frequency bands. Maxwell Scientific Publications 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/55966/1/AhmedFadhilHassoneyAlmurshedi2015_SignalRefinementPrincipleComponentAnalysis.pdf Almurshedi, Ahmed Fadhil Hassoney and Ismail, Abd. Khamim (2015) Signal refinement: principal component analysis and wavelet transform of visual evoked response. Research Journal of Applied Sciences, Engineering and Technology, 9 (2). pp. 106-112. ISSN 2040-7459 |
| spellingShingle | Q Science (General) Almurshedi, Ahmed Fadhil Hassoney Ismail, Abd. Khamim Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title | Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title_full | Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title_fullStr | Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title_full_unstemmed | Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title_short | Signal refinement: principal component analysis and wavelet transform of visual evoked response |
| title_sort | signal refinement principal component analysis and wavelet transform of visual evoked response |
| topic | Q Science (General) |
| url | http://eprints.utm.my/55966/1/AhmedFadhilHassoneyAlmurshedi2015_SignalRefinementPrincipleComponentAnalysis.pdf |
| work_keys_str_mv | AT almurshediahmedfadhilhassoney signalrefinementprincipalcomponentanalysisandwavelettransformofvisualevokedresponse AT ismailabdkhamim signalrefinementprincipalcomponentanalysisandwavelettransformofvisualevokedresponse |