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Listar por palabra clave "Signal classification"

Mostrando ítems 1-8 de 8

Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics

Cuesta Frau, David; Novák, Daniel; Burda, Vaclav; Molina Picó, Antonio; Vargas-Rojo, B.; Mraz, Milos; Kavalkova, Petra; Benes, Marek; Haluzik, Martin (MDPI AG, 2018-11-12)

[EN] This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored ...
Characterization of complex fractionated atrial electrograms by Sample Entropy: An international multi-center study

Cirugeda Roldán, Eva María; Novak, Daniel; Kremen, Vaclav; Cuesta Frau, David; Keller, Matthias; Luik, Armin; Srutova, Martina (MDPI, 2015-11)

Atrial fibrillation (AF) is the most commonly clinically-encountered arrhythmia. Catheter ablation of AF is mainly based on trigger elimination and modification of the AF substrate. Substrate mapping ablation of complex ...
Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm

Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Jordán Núñez, Jorge; Vargas-Rojo, B.; Vigil-Medina, Luis (Elsevier, 2018)

[EN] Background and objectives : The adoption in clinical practice of electronic portable blood or interstitial glucose monitors has enabled the collection, storage, and sharing of massive amounts of glucose level readings. ...
Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications

Cuesta Frau, David; Murillo-Escobar, Juan Pablo; Orrego, Diana Alexandra; Delgado-Trejos, Edilson (MDPI AG, 2019-04)

[EN] Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: ...
Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures

Cuesta Frau, David; Miró Martínez, Pau; Oltra Crespo, Sandra; Jordán Núñez, Jorge; Vargas-Rojo, B.; González, Paula; Varela-Entrecanales, Manuel (MDPI AG, 2018)

[EN] Many entropy-related methods for signal classification have been proposed and exploited successfully in the last several decades. However, it is sometimes difficult to find the optimal measure and the optimal parameter ...
Permutation Entropy and Bubble Entropy: Possible interactions and synergies between order and sorting relations

Cuesta Frau, David; Vargas-Rojo, B. (2020)

[EN] Despite its widely demonstrated usefulness, there is still room for improvement in the basic Permutation Entropy (PE) algorithm, as several subsequent studies have proposed in the recent years. For example, some ...
Slope Entropy: A New Time Series Complexity Estimator Based on Both Symbolic Patterns and Amplitude Information

Cuesta Frau, David (MDPI AG, 2019-12)

[EN] The development of new measures and algorithms to quantify the entropy or related concepts of a data series is a continuous effort that has brought many innovations in this regard in recent years. The ultimate goal ...
Using the Information Provided by Forbidden Ordinal Patterns in Permutation Entropy to Reinforce Time Series Discrimination Capabilities

Cuesta Frau, David (MDPI AG, 2020-04-25)

[EN] Despite its widely tested and proven usefulness, there is still room for improvement in the basic permutation entropy (PE) algorithm, as several subsequent studies have demonstrated in recent years. Some of these new ...