Development of a photoplethysmogram based heart abnormality detection technique

• Main Authors: Umadi, Lina Fadhilah, Mohd Azam, Siti Nurfarah Ain, Sidek, Khairul Azami
• Format: Article
• Language: English
• Published: Science & Engineering Research Support soCiety 2016
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/51854/1/IJBSBT_Vol8_No4_2016.pdf; http://irep.iium.edu.my/51854/; http://www.sersc.org/journals/IJBSBT/vol8_no4/10.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

In this study, the development of Cardioid based graph photoplethysmogram heart abnormality detection technique is presented. PPG signals in this work were collected from an online public repository called MIMIC II Waveform Database, Version 3 Part 1 with sampling rate of 250 Hz. Each recording has one minute of PPG signals. Distinctive features were extracted, and then the Cardioid based graph was plotted as the result of the differentiation of the signals. In addition, the different shapes of closed-loop created were then observed and assessed. From the Cardioid loop, the area and standard deviation were computed to distinguish between normal and abnormal heartbeats. Based on the results, these values for abnormal heartbeat were higher than the value of normal heartbeat thus signifying the differences between two categories of heart conditions. Therefore, the results of this study suggest the capability of the proposed mechanisms to determine heart abnormality and act as an alternative to the current detection system.