Analysis of bioelectrical signals of COVID-19 patients, hospitalized in intensive care units, using digital processing algorithms and artificial intelligence.

Knowing the behavior of digital signals from continuous monitoring of the hospitalized patient, using computational tools that allow accelerating the analysis of bioelectrical data from the ICU, can contribute to the knowledge of the pathophysiology and natural evolution of the disease in a local context.Objectives:General objective:To analyze the bioelectrical signals of COVID-19 patients hospitalized in intensive care units through digital processing algorithms and artificial intelligence at Hospital General IESS Quito Sur, Hospital Enrique Garcés and Hospital Pablo Arturo Suárez.Specific Objectives:Design a computer process, which extracts data from bioelectrical signals from continuous monitoring of vital signs, in patients in patients with COVID-19 diagnosis hospitalized at Hospital General IESS Quito Sur, Hospital Enrique Garcés and Hospital Pablo Arturo Suárez.To design algorithms that analyze the bioelectrical signals obtained from the most frequent cardiac rhythm disorders in patients diagnosed with COVID-19 hospitalized at Hospital General IESS Quito Sur, Hospital Enrique Garcés and Hospital Pablo Arturo Suárez.- To characterize the cardiac arrhythmias found according to clinical-therapeutic variables in patients with COVID-19 diagnosis hospitalized at Hospital General IESS Quito Sur, Hospital Enrique Garcés and Hospital Pablo Arturo Suárez.