CrowdLabel: A crowdsourcing platform for electrophysiology

@article{Zhu2014CrowdLabelAC,
  title={CrowdLabel: A crowdsourcing platform for electrophysiology},
  author={Tingting Zhu and Joachim A. Behar and Tasos Papastylianou and Gari D. Clifford},
  journal={Computing in Cardiology 2014},
  year={2014},
  pages={789-792}
}
In foetal electrocardiographic monitoring, assessment of foetal QT (FQT) in identifying foetal hypoxia has been limited mainly due to the lack of available public databases with expert labels. Our proposed platform, CrowdLabel, a web-based open-source annotation system, was developed for crowdsourcing medical labels from multiple expert and/or non-expert annotators. We describe the platform and an example of use; to improve FQT estimation by creating reference labels against which automated… CONTINUE READING
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