Adaptive System for Monitoring the Patient’s Environment Using Telemetric Data

Currently, medical telemetry sensors data analysis in scientific research addresses patient monitoring, the digital recording, transmission and analysis of patient health information. This paper proposes an adaptive system for monitoring the patient’s environment using telemetric data collected by sensors useful for optimal recovery conditions. The described system utilizes machine learning algorithms to analyze telemetric data, allowing it to identify patterns, adjust responses, and identify deviations from normal conditions. This adaptability enables the system to offer proactive and personalized patient care by providing information about potential health risks associated with room related parameters.