Algorithms for Visualization of Streaming Data of Medical Signal Processing Programs in WINDOWS OS

Purpose of research is development of algorithms for visualization of multichannel threads of biomedical data in the process of monitoring the functional state of a patient.

Methods. Algorithms for representing multichannel monitoring biomedical signals in the form of graphs on the screen of a video monitor are proposed. The problems of building data processing and visualization systems in the Windows operating system are shown., It is proposed to use "performance counters" - special registers of the central processor that allow you to measure time intervals with an accuracy of fractions of microseconds to solve the problem of performing thread pauses when designing real-time signal processing systems. An algorithm for the procedure for performing pauses in real-time signal processing systems in the Windows operating system based on performance counters has been developed. The algorithm is based on including the Sleep function with a zero argument in the performance counter status polling loop.

Results. In multichannel systems for monitoring biomedical data, it is proposed to use pipeline processing, in which the overall computational process is split into certain stages, called steps. A separate piece of hardware is allocated for each stage. Approbation of the operation algorithm of the stage of visualization of multichannel data has been carried out. The algorithm performs display device initialization and then a graphics rendering workflow based on the supplied data. Based on the proposed algorithm, a monitor of biosignals (electromyosignal and electrocardiosignal) was developed, which allows drawing several thousand graphic primitives per second and displaying signals in real time on the video monitor screen.

Conclusion. In the course of the study, algorithms for visualizing streaming data of medical signals in the Windows operating system were developed. Data sources were a variety of medical equipment, such as biopotential amplifiers, electrocardiographs, pulse oximeters, heart rate monitors, etc., as well as systems for calculating diagnostic indicators. The algorithms are focused on object-oriented software, which makes it possible to implement it in new systems for recording medical signals in the Windows operating system.

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