ANALYSIS OF KNOWN METHODS AND INFORMATION TECHNOLOGIES FOR RECOGNIZING PACEMAKER DYSFUNCTION

Abstract

Patients with cardiovascular diseases, especially arrhythmias, need to be monitored in real time to minimize the occurrence of critical conditions that can lead to death. The diagnosis of cardiovascular diseases, including arrhythmias, also requires constant long-term monitoring. The best solution is to continuously monitor heart rate using automated or automated tools and technologies for monitoring heart function.

Many factors can affect the correct functioning of a pacemaker age and wear of the pacemaker, electromagnetic interference, problems with the pacemaker's firmware, incorrect or poor connection of the pacemaker electrodes, mechanical damage to the pacemaker, low pacemaker battery, exposure to high-voltage equipment, biatrophy caused by certain medical procedures, electrostatic discharges in the environment, interference from wireless devices, and extreme temperatures. All these risks should be minimized.

Unrecognized pacemaker dysfunctions can lead to serious complications in patients, so detecting problems at an early stage is critical to preventing such complications.

Today, the task of developing a multimodal information technology that will combine several ways to recognize pacemaker dysfunctions in order to ensure high reliability of their detection is relevant: it will process diagnostic data and messages from the pacemaker, monitor heart function, read electrocardiograms and analyze heart rhythm, apply special algorithms to detect abnormal situations that may indicate pacemaker dysfunction, use sensors that can indicate pacemaker dysfunction, use sensors that can detect changes in cardiac activity, and automatically report any detected dysfunctions.

As the analysis has shown, the solutions known today do not solve the problem of developing a multimodal information technology that combines all the ways to recognize pacemaker dysfunctions in order to ensure high reliability of their detection.