Contact-Free Monitoring of Physiological Parameters in People with Profound Intellectual and Multiple Disabilities

Abstract

This paper presents a contact-free method for physiological parameter estimation in people with profound intellectual and multiple disabilities (PIMD). We used an existing state-of-the-art algorithm Plane-Orthogonal-to-Skin (POS) in order to obtain an initial remote photoplethysmogram (rPPG) reconstruction from facial videos. We enhanced this signal by applying a long-short-term-memory (LSTM) neural network to the initial PPG reconstruction. Evaluation of our method on a public database DEAP has shown heart rate (HR) error of 8.09 beats-per-minute, suprpassing the state-of-the-art POS algorithm implementation, which had error of 13.36 BPM. More importantly, a good correlation between our predictions and ground-truth HRs has been observed. The method is currently being implemented as part of a system which aims to monitor people with PIMD in real time in order to obtain information about their physiological and psychological state and in turn increase their quality of life.

Cite

Text

Slapnicar et al. "Contact-Free Monitoring of Physiological Parameters in People with Profound Intellectual and Multiple Disabilities." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00206

Markdown

[Slapnicar et al. "Contact-Free Monitoring of Physiological Parameters in People with Profound Intellectual and Multiple Disabilities." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/slapnicar2019iccvw-contactfree/) doi:10.1109/ICCVW.2019.00206

BibTeX

@inproceedings{slapnicar2019iccvw-contactfree,
  title     = {{Contact-Free Monitoring of Physiological Parameters in People with Profound Intellectual and Multiple Disabilities}},
  author    = {Slapnicar, Gasper and Dovgan, Erik and Cuk, Pia and Lustrek, Mitja},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2019},
  pages     = {1664-1672},
  doi       = {10.1109/ICCVW.2019.00206},
  url       = {https://mlanthology.org/iccvw/2019/slapnicar2019iccvw-contactfree/}
}