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A Non-invasive Method for Premature Sudden Cardiac Death Detection: A Proposal Framework

Abstract:

Sudden Cardiac Death is considered one of the main cause of mortality worldwide. The incomprehensible nature of this cardiac disease increases the necessity to develop new methods to predict this pathology. According to the literature review, several methods to predict SCD have been developed using Heart Rate Variability (HRV) and T-wave alternans (TWA). HRV has been extensively studied and it is considered as index in the cardiovascular risk stratification. On the other hand, T-wave alternans has been considered an important, non-invasive, very promising indicator to stratify the risk of sudden cardiac death. In this context, based on HRV and TWA as a risk stratification indices, this article proposes a research framework to stratify and predict the Sudden Cardiac Death (SCD) disease using non-invasive methods, by mixing elements of the HRV and TWA approaches, thus producing an hybrid approach.