Development of cardioid based graph ECG heart abnormalities classification technique

• Main Authors: Mohd Azam, Siti Nurfarah Ain, Zainal, Nur Izzati, Sidek, Khairul Azami
• Format: Article
• Language: English
• Published: Asian Research Publishing Network (ARPN) 2015
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/46305/1/jeas_1115_2979.pdf; http://irep.iium.edu.my/46305/; http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1115_2979.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

In this study, the development of Cardioid based graph electrocardiogram heart abnormalities classification technique is presented. ECG signals in this work were acquired from a public online database UCD Sleep Apnea database (UCDB) with sampling rate of 250 Hz. Each recording has 60 seconds of elec...