Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory

Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan. Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory. In Elhadi Shakshuki, Karim Djouani, Michael Sheng, Mohamed Younis, Eduardo Vaz, Wayne Groszko, editors, Proceedings of the 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013), Halifax, Nova Scotia, Canada, June 25-28, 2013. Volume 19 of Procedia Computer Science, pages 281-288, Elsevier, 2013. [doi]

@inproceedings{BalouchestaniRK13a,
  title = {Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory},
  author = {Mohammadreza Balouchestani and Kaamran Raahemifar and Sridhar Krishnan},
  year = {2013},
  doi = {10.1016/j.procs.2013.06.040},
  url = {http://dx.doi.org/10.1016/j.procs.2013.06.040},
  researchr = {https://researchr.org/publication/BalouchestaniRK13a},
  cites = {0},
  citedby = {0},
  pages = {281-288},
  booktitle = {Proceedings of the 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013), Halifax, Nova Scotia, Canada, June 25-28, 2013},
  editor = {Elhadi Shakshuki and Karim Djouani and Michael Sheng and Mohamed Younis and Eduardo Vaz and Wayne Groszko},
  volume = {19},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}