Autocorrelation-based, passive, non-contact, photoplethysmography: Computationally-efficient, noise-tolerant, extraction of heart rates from video

Chadwick Parrish, Kevin D. Donohue, Henry G. Dietz. Autocorrelation-based, passive, non-contact, photoplethysmography: Computationally-efficient, noise-tolerant, extraction of heart rates from video. In Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson, editors, Computational Imaging XVII, Burlingame, California, USA, 13-17 January 2019. Ingenta, 2019. [doi]

@inproceedings{ParrishDD19,
  title = {Autocorrelation-based, passive, non-contact, photoplethysmography: Computationally-efficient, noise-tolerant, extraction of heart rates from video},
  author = {Chadwick Parrish and Kevin D. Donohue and Henry G. Dietz},
  year = {2019},
  doi = {10.2352/ISSN.2470-1173.2019.13.COIMG-132},
  url = {https://doi.org/10.2352/ISSN.2470-1173.2019.13.COIMG-132},
  researchr = {https://researchr.org/publication/ParrishDD19},
  cites = {0},
  citedby = {0},
  booktitle = {Computational Imaging XVII, Burlingame, California, USA, 13-17 January 2019},
  editor = {Charles A. Bouman and Gregery T. Buzzard and Robert L. Stevenson},
  publisher = {Ingenta},
}