A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli.
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| Title: | A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli. |
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| Authors: | Kralev, Velin1 velin_kralev@swu.bg, Kraleva, Radoslava1 rady_kraleva@swu.bg, KoprinkovaHristova, Petia2, Bocheva, Nadejda2, Stefanova, Miroslava2 |
| Source: | International Journal of Online & Biomedical Engineering. 2025, Vol. 21 Issue 5, p142-159. 18p. |
| Subjects: | Database design, Databases, Electronic data processing, Information retrieval, Data extraction |
| Abstract: | This paper presents the results of a comparative analysis of different approaches to retrieving experimental data. The different methods of processing the data and their applications are analyzed. For the aims of the study, a database was designed to store, analyze, and process experimental data generated in response to visual stimuli. The methodology and conditions for conducting the experiments are detailed. The experiments utilized real data, which can be extracted by calling the corresponding web methods. For the experiments, 12 independent tests were conducted, and six operations related to extracting, processing, and analyzing the experimental data were examined. The results indicate that data extraction is fastest when using a direct approach, specifically by executing a query directly on the database server. Based on the results, the two slowest operations were found to be related to data extraction using web methods. The first variant describes the data in text format, while the second uses XML. The second approach is significantly slower in data retrieval, by about 30%. In addition to data retrieval operations, another data processing operation was also analyzed once the data was buffered in the address space of the client application. It was found that these operations are performed in an acceptable time-slower than direct data retrieval from the database server but faster than data retrieval using web methods. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 184610385 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kralev%2C+Velin%22">Kralev, Velin</searchLink><relatesTo>1</relatesTo><i> velin_kralev@swu.bg</i><br /><searchLink fieldCode="AR" term="%22Kraleva%2C+Radoslava%22">Kraleva, Radoslava</searchLink><relatesTo>1</relatesTo><i> rady_kraleva@swu.bg</i><br /><searchLink fieldCode="AR" term="%22KoprinkovaHristova%2C+Petia%22">KoprinkovaHristova, Petia</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bocheva%2C+Nadejda%22">Bocheva, Nadejda</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Stefanova%2C+Miroslava%22">Stefanova, Miroslava</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Online+%26+Biomedical+Engineering%22">International Journal of Online & Biomedical Engineering</searchLink>. 2025, Vol. 21 Issue 5, p142-159. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Database+design%22">Database design</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Data+extraction%22">Data extraction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the results of a comparative analysis of different approaches to retrieving experimental data. The different methods of processing the data and their applications are analyzed. For the aims of the study, a database was designed to store, analyze, and process experimental data generated in response to visual stimuli. The methodology and conditions for conducting the experiments are detailed. The experiments utilized real data, which can be extracted by calling the corresponding web methods. For the experiments, 12 independent tests were conducted, and six operations related to extracting, processing, and analyzing the experimental data were examined. The results indicate that data extraction is fastest when using a direct approach, specifically by executing a query directly on the database server. Based on the results, the two slowest operations were found to be related to data extraction using web methods. The first variant describes the data in text format, while the second uses XML. The second approach is significantly slower in data retrieval, by about 30%. In addition to data retrieval operations, another data processing operation was also analyzed once the data was buffered in the address space of the client application. It was found that these operations are performed in an acceptable time-slower than direct data retrieval from the database server but faster than data retrieval using web methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijoe.v21i05.53819 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 142 Subjects: – SubjectFull: Database design Type: general – SubjectFull: Databases Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Data extraction Type: general Titles: – TitleFull: A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kralev, Velin – PersonEntity: Name: NameFull: Kraleva, Radoslava – PersonEntity: Name: NameFull: KoprinkovaHristova, Petia – PersonEntity: Name: NameFull: Bocheva, Nadejda – PersonEntity: Name: NameFull: Stefanova, Miroslava IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 26268493 Numbering: – Type: volume Value: 21 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Online & Biomedical Engineering Type: main |
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