Real time electrocardiogram identification with multi-modal machine learning algorithms

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Real time electrocardiogram identification with multi-modal machine learning algorithms

Weaknesses in conventional identification technologies such as identification cards, badges and RFID tags prompts attention to biometric form of identification. Biometrics like voice, brain signal and finger print are unique human traits that can be used for identification. In this paper we prese...

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Bibliographic Details
Main Authors:	Waili, Tuerxun, Mohd Nor, Rizal, Sidek, Khairul Azami, Abdul Rahman, Abdul Wahab, Guven, Ghokan
Format:	Proceeding Paper
Language:	English English
Published:	Springer International Publishing 2017
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/60819/ http://irep.iium.edu.my/60819/1/60819_Real%20time%20electrocardiogram%20identification%20with%20multi-modal.pdf http://irep.iium.edu.my/60819/7/60819_Real%20time%20electrocardiogram%20identification%20with%20multi-modal_WOS.pdf

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