@article{576,
  author = {Aysan Mahmoudzadeh and Iman Azimi and Amir Rahmani and Pasi Liljeberg},
  title = {Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection},
  year = {2021},
  journal = {Procedia Computer Science},
  volume = {184},
  chapter = {140},
  pages = {8},
  month = {01},
  issn = {1877-0509},
  url = {https://par.nsf.gov/biblio/10296390},
  doi = {10.1016/j.procs.2021.03.025},
}