A Resource-Optimized Patient-Specific Nonlinear-SVM Hypertension Detection Algorithm for Minimally-Invasive High Blood Pressure Control. Eshaghi, F., Aghdam, E. N., & Kassiri, H. In IEEE International Symposium on Circuits and Systems, ISCAS 2020, Sevilla, Spain, October 10-21, 2020, pages 1–5, 2020. IEEE.
A Resource-Optimized Patient-Specific Nonlinear-SVM Hypertension Detection Algorithm for Minimally-Invasive High Blood Pressure Control [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/iscas/EshaghiAK20,
  author       = {Fatemeh Eshaghi and
                  Esmaeil Najafi Aghdam and
                  Hossein Kassiri},
  title        = {A Resource-Optimized Patient-Specific Nonlinear-SVM Hypertension Detection
                  Algorithm for Minimally-Invasive High Blood Pressure Control},
  booktitle    = {{IEEE} International Symposium on Circuits and Systems, {ISCAS} 2020,
                  Sevilla, Spain, October 10-21, 2020},
  pages        = {1--5},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/ISCAS45731.2020.9180433},
  doi          = {10.1109/ISCAS45731.2020.9180433},
  timestamp    = {Mon, 03 Jan 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iscas/EshaghiAK20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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