Real time electrocardiogram identification with multi-modal machine learning algorithms

• Main Authors: Waili, Tuerxun, Mohd Nor, Rizal, Sidek, Khairul Azami, Abdul Rahman, Abdul Wahab, Guven, Ghokan
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer International Publishing 2017
• Subjects: TK7885 Computer engineering
• Online Access: 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; http://irep.iium.edu.my/60819/; https://link.springer.com/chapter/10.1007/978-3-319-59427-9_48
• Institution: Universiti Islam Antarabangsa Malaysia

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...