Remote Decision Support System for Diagnosis of the Arterial Hypertension

The article describes general structure and results of the experimental approbation of the remote decision support system for diagnosing of arterial hypertension. Core elements of the system are database, for storage and remote access to the data, and algorithms of the decision support, based on the features sets of the heart rate variability signals. Results of experimental approbation have shown that among 5 diagnostically significant features sets, 2 have a decent potential for a generalization.