Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals

Yekanth Ram Chalumuri, Jacob P. Kimball, Azin Mousavi, Jonathan Zia, Christopher Rolfes, Jesse D. Parreira, Omer T. Inan, Jin-Oh Hahn. Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals. Sensors, 22(4):1336, 2022. [doi]

@article{ChalumuriKMZRPI22,
  title = {Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals},
  author = {Yekanth Ram Chalumuri and Jacob P. Kimball and Azin Mousavi and Jonathan Zia and Christopher Rolfes and Jesse D. Parreira and Omer T. Inan and Jin-Oh Hahn},
  year = {2022},
  doi = {10.3390/s22041336},
  url = {https://doi.org/10.3390/s22041336},
  researchr = {https://researchr.org/publication/ChalumuriKMZRPI22},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {22},
  number = {4},
  pages = {1336},
}