<p>All of these equations rely on four basic classification parameters: True positive (TP), true negative (TN), false positive (FP), and false negative (FN). We denote 'sleep' as positive and 'wake' as negative. PPV and NPV stand for positive and negative predictive values, respectively. κ—the Cohen's kappa coefficient. <i>Pe</i>—probability of agreement by chance.</p
A model of arousal dynamics is applied to predict objective performance and subjective sleepiness me...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
OBJECTIVE: To assess inter-rater reliability between different scorers, from different qualified sle...
<p>Accuracy (ACC), positive (PPV) and negative (NPV) predictive values of the tested algorithms.</p
<p>Sensitivity is the proportion of “sleep” epochs as defined by PSG that were judged as “sleep” by ...
<p>Abbreviations: PSQI, Pittsburg Sleep Quality Index; SD, standard deviation. Diamonds (unadjusted)...
<p>Sensitivity, Specificity, Positive and Negative Predictive Values (PPV, NPV) are given as estimat...
A. Subjective sleepiness is plotted as a function of balanced accuracy of each participant-level cla...
Overview of positive predictive value (PPV) and negative predictive value (NPV) results and the prop...
<p>(A) Using a Bayesian Monte Carlo analysis, we compute the distribution of the total loglikelihood...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
<p>The positive predictive value PPV was defined as and the negative predictive value NPV as . tn: ...
<p><i>Note</i>. Abbreviations: PSQI: Pittsburgh Sleep Quality Index.</p>*<p><i>P</i><.05,</p>**<p><i...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
A model of arousal dynamics is applied to predict objective performance and subjective sleepiness me...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
OBJECTIVE: To assess inter-rater reliability between different scorers, from different qualified sle...
<p>Accuracy (ACC), positive (PPV) and negative (NPV) predictive values of the tested algorithms.</p
<p>Sensitivity is the proportion of “sleep” epochs as defined by PSG that were judged as “sleep” by ...
<p>Abbreviations: PSQI, Pittsburg Sleep Quality Index; SD, standard deviation. Diamonds (unadjusted)...
<p>Sensitivity, Specificity, Positive and Negative Predictive Values (PPV, NPV) are given as estimat...
A. Subjective sleepiness is plotted as a function of balanced accuracy of each participant-level cla...
Overview of positive predictive value (PPV) and negative predictive value (NPV) results and the prop...
<p>(A) Using a Bayesian Monte Carlo analysis, we compute the distribution of the total loglikelihood...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
<p>The positive predictive value PPV was defined as and the negative predictive value NPV as . tn: ...
<p><i>Note</i>. Abbreviations: PSQI: Pittsburgh Sleep Quality Index.</p>*<p><i>P</i><.05,</p>**<p><i...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
A model of arousal dynamics is applied to predict objective performance and subjective sleepiness me...
Sleep staging is the process by which an overnight polysomnographic measurement is segmented into ep...
OBJECTIVE: To assess inter-rater reliability between different scorers, from different qualified sle...