A Wavelet-Based Approach for Estimating the Joint Angles of the Fingers and Wrist Using Electromyography Signals

Rami Alazrai, Mohammad I. Daoud, Ala F. Khalifeh, Nasim Alnuman, Yaser Mowafi, Deena Alabed. A Wavelet-Based Approach for Estimating the Joint Angles of the Fingers and Wrist Using Electromyography Signals. In Habib M. Fardoun, Ahlam A. M. Hassan, M. Elena de la Guía, editors, New Technologies to Improve Patient Rehabilitation - 4th Workshop, REHAB 2016, Lisbon, Portugal, October 13-14, 2016, Revised Selected Papers. Volume 1002 of Communications in Computer and Information Science, pages 31-45, Springer, 2016. [doi]

@inproceedings{AlazraiDKAMA16,
  title = {A Wavelet-Based Approach for Estimating the Joint Angles of the Fingers and Wrist Using Electromyography Signals},
  author = {Rami Alazrai and Mohammad I. Daoud and Ala F. Khalifeh and Nasim Alnuman and Yaser Mowafi and Deena Alabed},
  year = {2016},
  doi = {10.1007/978-3-030-16785-1_3},
  url = {https://doi.org/10.1007/978-3-030-16785-1_3},
  researchr = {https://researchr.org/publication/AlazraiDKAMA16},
  cites = {0},
  citedby = {0},
  pages = {31-45},
  booktitle = {New Technologies to Improve Patient Rehabilitation - 4th Workshop, REHAB 2016, Lisbon, Portugal, October 13-14, 2016, Revised Selected Papers},
  editor = {Habib M. Fardoun and Ahlam A. M. Hassan and M. Elena de la Guía},
  volume = {1002},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-16785-1},
}