Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Methodology
  3.1. Data Collection
  3.2. Pre-processing
  3.3. Feature Extraction
  3.4. Classification
 4. Experimentation and Results
 5. Conclusion
 References

키워드

저자

• Lina Fadhilah Umadi [ Department of Electrical and Computer Engineering, International Islamic University Malaysia P. O. Box 10, Jalan Gombak, 50728 Kuala Lumpur ]
• Siti Nurfarah Ain Mohd Azam [ Department of Electrical and Computer Engineering, International Islamic University Malaysia P. O. Box 10, Jalan Gombak, 50728 Kuala Lumpur ]
• Khairul Azami Sidek [ Department of Electrical and Computer Engineering, International Islamic University Malaysia P. O. Box 10, Jalan Gombak, 50728 Kuala Lumpur ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605