Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method

Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method

Abnormal heart rhythms are one of the significant health concerns worldwide. The current state-of-the-art to recognize and classify abnormal heartbeats is manually performed by visual inspection by an expert practitioner. This is not just a tedious task; it is also error prone and, because it is per...

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Bibliographic Details
Main Authors: Rajesh N V P S Kandala, Ravindra Dhuli, Paweł Pławiak, Ganesh R. Naik, Hossein Moeinzadeh, Gaetano D. Gargiulo, Suryanarayana Gunnam
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
electrocardiogram signal
nonlinear features
improved complete ensemble empirical mode decomposition
inter-patient scheme
voting
classification
fpga
Online Access:https://www.mdpi.com/1424-8220/19/23/5079

Internet

https://www.mdpi.com/1424-8220/19/23/5079

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