Automatic Detection of Premature Ventricular Contraction Based on Photoplethysmography Using Chaotic Features and High Order Statistics

Mohammad Reza Yousefi, Mahdi Khezri, Razieh Bagheri, Reza Jafari. Automatic Detection of Premature Ventricular Contraction Based on Photoplethysmography Using Chaotic Features and High Order Statistics. In 2018 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018, Rome, Italy, June 11-13, 2018. pages 1-5, IEEE, 2018. [doi]

@inproceedings{YousefiKBJ18,
  title = {Automatic Detection of Premature Ventricular Contraction Based on Photoplethysmography Using Chaotic Features and High Order Statistics},
  author = {Mohammad Reza Yousefi and Mahdi Khezri and Razieh Bagheri and Reza Jafari},
  year = {2018},
  doi = {10.1109/MeMeA.2018.8438697},
  url = {https://doi.org/10.1109/MeMeA.2018.8438697},
  researchr = {https://researchr.org/publication/YousefiKBJ18},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {2018 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018, Rome, Italy, June 11-13, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-3392-2},
}