Steps toward subject-specific classification in ECG-based detection of sleep apnea.

@article{Maier2011StepsTS,
  title={Steps toward subject-specific classification in ECG-based detection of sleep apnea.},
  author={Christoph Cornelius Maier and Heinrich Wenz and Hartmut Dickhaus},
  journal={Physiological measurement},
  year={2011},
  volume={32 11},
  pages={
          1807-19
        }
}
This study deals with ECG-based recognition of sleep apnea in epochs of 1 min duration using spectral- and correlation-based features extracted from the modulation of QRS amplitude, respiratory myogram interference and RR intervals. On a database comprising 140 simultaneous recordings of polysomnograms (PSGs) and 8-lead Holter-ECGs, it is shown that a single-parameter ROC threshold classification can achieve high detection rates up to 81.0% sensitivity and 85.6% specificity. Still, individual… CONTINUE READING
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