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Auto-encoder based ECG signal feature extraction for real-time detection of cardiac arrhythmias

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Date
2016
Author
Gudiškis, Andrius
Serackis, Artūras
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Abstract
In this paper, we proposed to use an auto - encoder for ECG signal feature extraction and a QRS complex shape prediction error as an estimate of signal shape changes, related to arrhythmia. In order to estimate the efficiency of auto - encoder based feature extraction, we performed an experimental investigation using Ventricular Tachycardia (VT) indica ted incidents’ records from Physionet database. The experimental investigation has shown, that the application of auto - encoder makes possible to detect VT incidents in signals, where the features based on signal frame averaging fails. An additional investi gation is needed in order to create a robust algorithm for decision threshold selection, to indicate the MSE value changes, at which the VT incident related alarm should be activated.
Issue date (year)
2016
URI
https://etalpykla.vilniustech.lt/handle/123456789/117186
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  • Konferencijų straipsniai / Conference Articles [15192]

 

 

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