An Automated High-Accuracy Detection Scheme for Myocardial Ischemia Based on Multi-Lead Long-Interval ECG and Choi-Williams Time-Frequency Analysis Incorporating a Multi-Class SVM Classifier

Ahmed Faeq Hussein, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Wan Azizun Wan Adnan. An Automated High-Accuracy Detection Scheme for Myocardial Ischemia Based on Multi-Lead Long-Interval ECG and Choi-Williams Time-Frequency Analysis Incorporating a Multi-Class SVM Classifier. Sensors, 21(7):2311, 2021. [doi]

@article{HusseinHRA21,
  title = {An Automated High-Accuracy Detection Scheme for Myocardial Ischemia Based on Multi-Lead Long-Interval ECG and Choi-Williams Time-Frequency Analysis Incorporating a Multi-Class SVM Classifier},
  author = {Ahmed Faeq Hussein and Shaiful Jahari Hashim and Fakhrul Zaman Rokhani and Wan Azizun Wan Adnan},
  year = {2021},
  doi = {10.3390/s21072311},
  url = {https://doi.org/10.3390/s21072311},
  researchr = {https://researchr.org/publication/HusseinHRA21},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {21},
  number = {7},
  pages = {2311},
}