Automated Scoring of Obstructive Sleep Apnea and Hypopnea Events Using Short-Term Electrocardiogram Recordings

@article{Khandoker2009AutomatedSO,
  title={Automated Scoring of Obstructive Sleep Apnea and Hypopnea Events Using Short-Term Electrocardiogram Recordings},
  author={Ahsan H. Khandoker and Jayavardhana Gubbi and Marimuthu Palaniswami},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2009},
  volume={13},
  pages={1057-1067}
}
Obstructive sleep apnea or hypopnea causes a pause or reduction in airflow with continuous breathing effort. The aim of this study is to identify individual apnea and hypopnea events from normal breathing events using wavelet-based features of 5-s ECG signals (sampling rate = 250 Hz) and estimate the surrogate apnea index (AI)/hypopnea index (HI) (AHI). Total 82 535 ECG epochs (each of 5-s duration) from normal breathing during sleep, 1638 ECG epochs from 689 hypopnea events, and 3151 ECG… CONTINUE READING

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