What is it about?
The article explores the performance of various single and ensemble classifiers for ECG features to identify individuals.
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Why is it important?
The article contributes to the study of supervised machine learning. Further, it provides additional proof for using ECG for next-generation biometric systems. ECG is a symbol of life, and this property gives it an additional advantage as a biometric tool.
Perspectives
I hope this article will be useful for researchers working on ECG-based systems as well as core ensemble machine learning.
Dr Mamata Pandey
Birla Institute of Technology
Read the Original
This page is a summary of: Ensemble Machine Learning Model for ECG based Identification Using Features Extracted from Digital ECG Signal using Deterministic Finite Automata, November 2024, Taylor & Francis,
DOI: 10.1201/9781003596721-52.
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