System, method and device for predicting sudden cardiac death risk

Abstract

A system and method for predicting sudden cardiac death. The system includes a patient monitoring station, a Holter analysis workstation, and a hospital information network. The Holter analysis workstation being operative to apply a plurality of data analysis algorithms to create a sudden cardiac death report. The method applies a first data analysis technique and a second data analysis technique to electrocardiographic data to produce an indication of sudden cardiac death risk.

Description

technical field [0001] The present disclosure relates to the field of monitoring the physiological condition of a patient. More specifically, the present disclosure relates to analyzing a patient's risk of suffering sudden cardiac death. Background technique [0002] Sudden cardiac death (SCD) is the leading cause of death in adults. One of the biggest threats of sudden cardiac death is that the effects and symptoms are sudden and unexpected. SCD may often occur within minutes of symptoms first appearing. Some victims may be children or have no prior history of heart disease, although underlying heart conditions such as atherosclerosis or previous heart attacks may increase a patient's risk for SCD. [0003] SCD occurs when the electrical impulses generated by the heart and propagated through the heart muscle tissue become rapid (tachycardia) or disordered (fibrillation) or rapid and disordered. The physiological events that gradually lead to sudden cardiac death can be ...

AI Technical Summary

Problems solved by technology

This leads clinicians to respond conservatively to previously collected data

Such systems where the response is conservative can detrimentally affect patient care as the patient may have been discharged from the hospital, or initiated treatment and / or surgery for a condition that combats the increased risk of sudden cardiac death

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