A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli
Year: 2025
Type: article
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.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $312
OpenAlex ID: W4409565351