A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation

T. Youssef; B. Ananou; Z. Haddi; M. Ouladsine

doi:10.1109/MED.2018.8442479

Conference papers

A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation

T. Youssef ¹ B. Ananou ¹ Z. Haddi ² M. Ouladsine ¹

1 PECASE - Pronostic/Diagnostic Et CommAnde : Santé et Energie

LIS - Laboratoire d'Informatique et Systèmes

2 Sensors, Electronic & Instrumentation Group

Document type :

Conference papers

Domain :

Computer Science [cs] / Automatic Control Engineering

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https://hal-amu.archives-ouvertes.fr/hal-02486860
Contributor : Youssef Trardi <>
Submitted on : Friday, February 21, 2020 - 11:35:21 AM
Last modification on : Saturday, February 22, 2020 - 1:39:19 AM

A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation

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A Novel Method to Identify Relevant Features for Automatic Detection of Atrial Fibrillation

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