Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network

<div>Cross-validation results for MLP and TW-MLP on the (a) per-segment SA detection and (b) per-recording classification. The green dot represents the average accuracy of the cross validation, while the gray line refers to the corresponding 95% confidence interval (CI).</div>

BioMed Research International

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Figure 6

Figure 6: Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network 