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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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2017-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/7967798/ |
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