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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2017-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/7967798/ |
| Метки: |
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