Development of Software Tools for Biomedical Signal Analysis Based on the Actor Prolog Logic Programming System

This paper discusses methods and tools developed and implemented in the Actor Prolog logic programming system for analyzing biomedical signals within the project of long-term video-EEG monitoring data analysis for detecting delayed cerebral ischemia after subarachnoid hemorrhage. The developed logic programming tools are planned to be used for implementing an intelligent automated system that collects video-EEG data in real-time using the LSL protocol, analyzes diagnostic indicators, and predicts the possible development of delayed ischemia. Within the project, built-in classes supporting data transmission via the LSL protocol, digital signal processing, and neural-network-based image analysis have been implemented in the Actor Prolog system. Actor Prolog ensures the necessary video-EEG data processing performance due to the object-oriented architecture of the logic language and the translation of logical rules into Java language. The use of built-in classes is demonstrated by the example of analyzing optical flows of video images of a patient undergoing treatment in an intensive care unit.