Development of software tools for video-EEG monitoring based on the Actor Prolog logic programming system
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| Title: | Development of software tools for video-EEG monitoring based on the Actor Prolog logic programming system |
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| Authors: | Alexei A. Morozov, Olga S. Sushkova, Irina V. Okuneva, Mikhail V. Sinkin |
| Source: | Radioelectronics. Nanosystems. Information Technologies.. 17:383-394 |
| Publisher Information: | Editorial Board of Journal Radioelectronics, Nanosystems, Information Technology RENSIT, 2025. |
| Publication Year: | 2025 |
| Description: | In the paper, we consider built-in classes of the Actor Prolog object-oriented logic language that were created for digital signal processing and image analysis. These built-in classes were developed and tested in the framework of a project of automatic diagnosis of delayed cerebral ischemia in patients of the intensive care unit based on the on-line EEG monitoring. The diagnostic procedure includes LSL-protocol-based transmission and real-time processing of video and multichannel EEG signals. In the framework of the project, we developed built-in classes that support the transmission of the video and EEG using LSL protocol, methods for digital signal processing, including spectral analysis methods and wavelet analysis, and neural-network-based data analysis methods. Besides, we implemented methods for statistical data analysis to reveal features of the delayed cerebral ischemia in several-days EEG signals. In the paper, main ideas of developed Actor Prolog built-in classes and their interconnection in the context of the medical problem to be solved are considered. |
| Document Type: | Article |
| ISSN: | 2414-1267 2218-3000 |
| DOI: | 10.17725/j.rensit.2025.17.383 |
| Accession Number: | edsair.doi...........41b96c3b7dd2ad8dd66317938e03f21f |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | In the paper, we consider built-in classes of the Actor Prolog object-oriented logic language that were created for digital signal processing and image analysis. These built-in classes were developed and tested in the framework of a project of automatic diagnosis of delayed cerebral ischemia in patients of the intensive care unit based on the on-line EEG monitoring. The diagnostic procedure includes LSL-protocol-based transmission and real-time processing of video and multichannel EEG signals. In the framework of the project, we developed built-in classes that support the transmission of the video and EEG using LSL protocol, methods for digital signal processing, including spectral analysis methods and wavelet analysis, and neural-network-based data analysis methods. Besides, we implemented methods for statistical data analysis to reveal features of the delayed cerebral ischemia in several-days EEG signals. In the paper, main ideas of developed Actor Prolog built-in classes and their interconnection in the context of the medical problem to be solved are considered. |
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| ISSN: | 24141267 22183000 |
| DOI: | 10.17725/j.rensit.2025.17.383 |