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Life-Threatening Ventricular Arrhythmia Detection With Personalized Features

The timely detection of life-threatening ventricular arrhythmias (VAs) is critical for saving a patient's life. General features that characterize ECG waveforms are extracted for VA detection. To take into account the subtle differences in the QRS complexes among different people, new personalized f...

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Principais autores: Ping Cheng, Xiaodai Dong
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2017-01-01
Serier:IEEE Access
Fag:
Correlation coefficient
ventricular arrhythmia detection
ECG
feature selection
personalized feature
patient-specific template matching
Online adgang:https://ieeexplore.ieee.org/document/7967798/
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