Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation

Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation

Meeting application requirements under a tight power budget is of a primary importance to enable connected health internet of things applications. This paper considers using sparse representation and well-defined inequality indexes drawn from the theory of inequality to distinguish ventricular ectop...

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Bibliographic Details
Main Authors: Hamza Baali, Xiaojun Zhai, Hamza Djelouat, Abbes Amira, Faycal Bensaali
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Inequality indexes
dictionary learning
ADMM
arrhythmia
classification
connected health
Online Access:https://ieeexplore.ieee.org/document/8240906/

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