Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification

Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification

Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the health data from the patient are monitored using IoT t...

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Bibliographic Details
Main Authors: Ashwani Kumar, Mohit Kumar, Rajendra Prasad Mahapatra, Pronaya Bhattacharya, Thi-Thu-Huong Le, Sahil Verma, Kavita, Khalid Mohiuddin
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
arrhythmia classification
DCNN
ECG signal
flamingo optimization
IoT nodes
Online Access:https://www.mdpi.com/1424-8220/23/9/4353

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https://www.mdpi.com/1424-8220/23/9/4353

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