Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of Implementation

Henriques Zacarias, Virginie Felizardo, Leonice Souza-Pereira, André Pinho, Susana Ramos, Mehran Pourvahab, Nuno M. Garcia, Nuno Pombo. Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of Implementation. In Susanna Spinsante, Grazia Iadarola, Alessia Paglialonga, Federico Tramarin, editors, IoT Technologies for HealthCare - 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings. Volume 456 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 108-120, Springer, 2022. [doi]

@inproceedings{ZacariasFSPRPGP22,
  title = {Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of Implementation},
  author = {Henriques Zacarias and Virginie Felizardo and Leonice Souza-Pereira and André Pinho and Susana Ramos and Mehran Pourvahab and Nuno M. Garcia and Nuno Pombo},
  year = {2022},
  doi = {10.1007/978-3-031-28663-6_9},
  url = {https://doi.org/10.1007/978-3-031-28663-6_9},
  researchr = {https://researchr.org/publication/ZacariasFSPRPGP22},
  cites = {0},
  citedby = {0},
  pages = {108-120},
  booktitle = {IoT Technologies for HealthCare - 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings},
  editor = {Susanna Spinsante and Grazia Iadarola and Alessia Paglialonga and Federico Tramarin},
  volume = {456},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-031-28663-6},
}