A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features

Muhammad Sheeraz, Abdul Rehman Aslam, Nauman Hafeez, Hadi Heidari, Muhammad Awais Bin Altaf. A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features. In 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022. pages 198-201, IEEE, 2022. [doi]

@inproceedings{SheerazAHHA22,
  title = {A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features},
  author = {Muhammad Sheeraz and Abdul Rehman Aslam and Nauman Hafeez and Hadi Heidari and Muhammad Awais Bin Altaf},
  year = {2022},
  doi = {10.1109/AICAS54282.2022.9869847},
  url = {https://doi.org/10.1109/AICAS54282.2022.9869847},
  researchr = {https://researchr.org/publication/SheerazAHHA22},
  cites = {0},
  citedby = {0},
  pages = {198-201},
  booktitle = {4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0996-4},
}