ECG ST Change Detection Using Zhao-Atlas-Mark Time-Frequency Distribution

KAYIKÇIOĞLU İ., KAYIKÇIOĞLU T.

Medical Technologies National Congress (TIPTEKNO), Trabzon, Turkey, 12 - 14 October 2017 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/tiptekno.2017.8238088
  • City: Trabzon
  • Country: Turkey
  • Keywords: Myocardial Infarction, Zhao-Atlas-Mark Time Frequency Transform, Electrocardiogram (ECG), Telemedicine, ST Segment Changes, MYOCARDIAL-INFARCTION, ISCHEMIA, EPISODES, SIGNALS
  • Karadeniz Technical University Affiliated: Yes

Abstract

Detection of ST segment depression, elevation, or an arrhythmia in the ECG signal is very important for the early detection of a myocardial infarction. In this study, an algorithm based on Zhao-Atlas-Mark time-frequency distribution was developed in order to early detection of ST segment depression, elevation or arrhythmia on ECG signal. The performance evaluation of the algorithm was performedon a large database generated from MIT-BIH Arrhythmia, European ST-T and Long Term ST databases. The classification performance results were found as accuracy, sensitivity, specificity, negative predictive value and F score of 95.09%, 95.08%, 98.31%, 98.31% and 95.08%, respectively. Moreover, speed of the proposed algorithm is ideal for the decision support part of the telemedicine system.