A Novel Machine Learning Approach to Classify and Detect Atrial Fibrillation Using Optimized Implantable Electrocardiogram Sensor

There are some constraints such as external electrodes, a failure to capture most paroxysmal atrial fibrillation (AFib), low power transfer efficiency (PTE) for 24/7 charging technology, a short period of monitoring, and automatic detection of AFib in conventional electrocardiogram (ECG) sensors. To...

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Auteurs principaux: Seyed Jamaleddin Mostafavi Yazdi, Hee-Joon Park, Chang-Sik Son, Jong-Ha Lee
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/8e3d9f2415e248318e102e69717eb862
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