Automatic Sleep Stage Detection Based on HRV Spectrum Analysis

@article{Tanno2018AutomaticSS,
  title={Automatic Sleep Stage Detection Based on HRV Spectrum Analysis},
  author={K. Tanno and H. Tamura and Edita Rosana Widasari},
  journal={2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2018},
  pages={869-874}
}
  • K. Tanno, H. Tamura, Edita Rosana Widasari
  • Published 2018
  • Computer Science
  • 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • In this research proposes and validates an algorithm that uses only electrocardiogram (ECG) for automatic sleep stage detection. Polysomnography (PSG) is the conventional method of sleep stage monitoring. This method requires many sensors, complex procedure, expensive and need to implement in the special laboratory. The ECG signal measurement are much easier to conduct and record. This would make it possible for realizing the non-intrusive method, home-diagnostic systems, reducing a lot of… CONTINUE READING
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