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To propose a new feature extraction method with canonical solution for multi-class brain-computer interfaces (BCI). The proposed method should provide a reduced number of canonical discriminant spatial patterns (CDSP) and rank the channels sorted by power discriminability (DP) between classes. The feature extractor relays in canonical variates analysis(More)
We develop a proximity function between an individual and a population from a distance between multivariate observations. We study some properties of this construction and apply it to a distance{based discrimination rule, which contains the classic linear discriminant function as a particular case. Additionally, this rule can be used advantageously for(More)
BACKGROUND The intravenous inodilator levosimendan was developed for the treatment of patients with acutely decompensated heart failure. In the last decade scientific and clinical interest has arisen for its repetitive or intermittent use in patients with advanced chronic, but not necessarily acutely decompensated, heart failure. Recent studies have(More)
The treatment of severe anteromedial knee injuries over the years has undergone various types of approach, changing from proposals, such as combined surgical repair of the anterior cruciate ligament and medial compartment, to the more current protocol which involves conservative treatment of the peripheral injury and later reconstruction of the anterior(More)
This paper presents an application of Neural Networks (NNs) and Support Vector Machines (SVMs) for the detection and classification of heartbeats in electrocardiogram (ECG) signals. The preprocessing algorithm for the beats detection is based on well-known Pan-Tompkins' algorithm. The proposed approach is robust to different types of noise and shows good(More)
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