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


Medical Technologies National Congress (TIPTEKNO), Trabzon, Türkiye, 12 - 14 Ekim 2017 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/tiptekno.2017.8238088
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye


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.