A spatio-temporal learning-based model for sleep apnea detection using single-lead ecg signals

HIGHLIGHTS

• who: Weiping Zheng from the Nanjing University of Science and, China have published the research: A spatio-temporal learning-based model for sleep apnea detection using single-lead ECG signals, in the Journal: (JOURNAL)
• what: The performance of the model has outperformed the one of Bahrami and Forouzanfar . It can be seen that the model proposed in this study is stable, with an AUC value of 0.9692 u00b1 0.0013.
• how: To improve the performance of SA detection a spatio-temporal learning based DNN model is proposed in this paper. The authors . . .
  

   

  

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