Database details.

<p>Demographic details of the subjects who participated in this study. Average and standard deviation are given respectively for age, education and MMSE.</p

Histograms of the non-parametric test.

<p>Histogram of the accuracy rates achieved by using randomly generated neuropsychological scores (1000 repetitions) and the late integration approach. Red lines are the accuracies associated with a -value of . Blue lines are the accuracies for the late integration approach reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088687#pone-0088687-t002" target="_blank">table 2</a>.</p

Comparison of the trade off between sensitivity and specificity.

<p>ROC curves for the three cases analyzed: using only images, using only neuropsychological scores and using both images and neuropsychological scores (including three approaches: early, intermediate and late integration). The area under the curve (AUC) is shown in the legend.</p

Classification rates.

<p>Accuracy, sensitivity, specificity and positive and negative likelihoods for the systems implemented. These rates were estimated by means of a leave-one-out cross-validation scheme and using the database described above.</p

Data flow of CAD systems for neurodegenerative disorders.

<p>Comparison between the classical approach used in most part of CAD systems for AD and the proposed approach, which consists of taking into account the neuropsychological test data along the brain images. Last three rows show the differences between the ways of integrating in the system the data from the neuroimages and from the neuropsychological tests.</p

Evolution of the patients' diagnosis.

<p>Number of subjects whose diagnosis changed to AD during the 6 years after the beginning of the study.</p

ECG signal in green line (record 108 containing several abnormal shapes, noise and artifacts).

<p>Left: MAP decision in red line based on M( = 3)-ary LRT. Right: A real time implementation of the matched filter-based method <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110629#pone.0110629-Sornmo1" target="_blank">[15]</a>.</p

Hypothesis considered for the derivation of the approximate M-ary LRT and its expected value.

<p>Left: Example of ECG segment (blue line) and its observation window composed of QRS (red line) and noise (black line) frames (<i>M</i> = 5 and <i>r</i> = 1). Right: The most probable hypotheses in and for a transition as shown in left figure.</p

Operation points for the MAP based QRS detectors. Average and deviation of and (, ).

<p>Operation points for the MAP based QRS detectors. Average and deviation of and (, ).</p

Area Under Curve (AUC) of the ROC curves obtained by averaging all the tapes in the database.

<p>Area Under Curve (AUC) of the ROC curves obtained by averaging all the tapes in the database.</p