Key result
A methodology based on fractal dimension algorithms and fuzzy logic predicted sudden cardiac death events up to 60 minutes before onset with an accuracy of 91.54%.
Why the study?
Sudden cardiac death is a major cause of death, and early prediction of events could enable timely, life-saving treatment.
Does a methodology based on fractal dimension algorithms and fuzzy logic accurately predict sudden cardiac death using ECG signals?
Observational (n=38)
No
Does a methodology based on fractal dimension algorithms and fuzzy logic accurately predict sudden cardiac death using ECG signals?
A novel algorithm combining fractal dimension and fuzzy logic on ECG signals can predict sudden cardiac death up to 60 minutes before onset with high accuracy.
Answers are grounded in this paper and cite their sources.
May aid automated SCD prediction; hypothesis-generating and requires prospective validation before clinical adoption.
Sudden cardiac death (SCD) is deemed as one of the main causes of death in humans. Therefore, the prediction of an SCD event will help people to receive timely treatment, allowing saving their life. In this sense, this paper introduces a new methodology based on the adroit fusion of fractal dimension (FD) algorithms and a fuzzy logic system for predicting an SCD event automatically. Five FD implementations are investigated in this work: Katz’s FD, Sevcik’s FD, Box’s FD, Higuchi’s FD, and Petrosian’s FD, in order to evaluate the geometrical complexity in electrocardiogram signals of 20 patients with SCD and 18 patients with a normal cardiac rhythm offered by Boston’s Beth Israel Hospital. The results indicate that the FD-based methodology can predict an SCD event up to 60[Formula: see text]min before the onset, reaching an accuracy of 91.54%.
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PIÑA-VEGA et al. (2020) conducted an observational in Sudden cardiac death (n=38). Fractal dimension algorithms and fuzzy logic system vs. Normal cardiac rhythm was evaluated on Prediction of a sudden cardiac death event. A methodology based on fractal dimension algorithms and fuzzy logic predicted sudden cardiac death events up to 60 minutes before onset with an accuracy of 91.54%.
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