Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation

Hélène De Cannière, Federico Corradi, Christophe Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter M. Vandervoort. Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors, 20(12):3601, 2020. [doi]

@article{CanniereCSSVHHG20,
  title = {Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation},
  author = {Hélène De Cannière and Federico Corradi and Christophe Smeets and Melanie Schoutteten and Carolina Varon and Chris Van Hoof and Sabine Van Huffel and Willemijn Groenendaal and Pieter M. Vandervoort},
  year = {2020},
  doi = {10.3390/s20123601},
  url = {https://doi.org/10.3390/s20123601},
  researchr = {https://researchr.org/publication/CanniereCSSVHHG20},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {20},
  number = {12},
  pages = {3601},
}