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Proceedings of SPIE - The International Society for Optical Engineering(3)
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Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
Computerized Medical Imaging and Graphics(1)
Computers in Cardiology(1)
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Characterizing artifacts in RR stress test time series
Conference ObjectAbstract: Electrocardiographic stress test records have a lot of artifacts. In this paper we explore a simplePalabras claves:Autores:Fabian Astudillo-Salinas, Kenneth Samuel Palacio Baus, Lizandro Damian Solano-Quinde, Ruben Medina Molina, Sara Wong De BalzanFuentes:rraaescopusCinC Challenge 2013: Comparing three algorithms to extract fetal ECG
Conference ObjectAbstract: This paper reports a comparison between three fetal ECG (fECG) detectors developed during the CinC 2Palabras claves:decision fusion, non-invasive fetal ECG, Physionet challengeAutores:E Velecela, Esteban Velecela, Fabian Astudillo-Salinas, J Loja, Juan Loja, Kenneth Samuel Palacio Baus, Ruben Medina Molina, Sara Wong De BalzanFuentes:rraaescopusComputation programs to determine stereological parameters
ArticleAbstract: This paper studies the principles of stereology, for which a set of computer programs has been develPalabras claves:Computer Programs, shape, stereologyAutores:Jáuregui M., Nuñez C., Ochoa M., Ruben Medina Molina, Tolosa R.Fuentes:scopusAn unsupervised clustering framework for automatic segmentation of left ventricle cavity in human heart angiograms
ArticleAbstract: Cardiac function is routinely assessed from X-rays angiograms acquired at the cardiac catheterizatioPalabras claves:Cardiac function, cardiac images, Human heart, Left ventricle, segmentation, unsupervised clusteringAutores:Bravo A.J., Ruben Medina MolinaFuentes:scopusA dictionary sparse based representation of vibration signals for gearbox fault detection
Conference ObjectAbstract: Detection of faults in the early stages for rotating machinery is important for optimizing maintenanPalabras claves:Dictionary Learning, Gearbox fault detection, Rotating machinery, Sparse based signal representationAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusA level-set segmentation approach for 4-D cardiac images
Conference ObjectAbstract: Cardiac diseases are one of the main causes of death in the World. This has motivated an important rPalabras claves:Left ventricle segmentation, Level SetsAutores:Garreau M., Marciales A., Ruben Medina MolinaFuentes:scopusDescription and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images
ArticleAbstract: The World Health Organization indicates the top cause of death is heart disease. These diseases canPalabras claves:Artifacts, cardiac dataset, numerical phantoms, Poisson noise, processing techniquesAutores:Bravo A.J., Ruben Medina Molina, Vera M.Fuentes:scopusOpen source cardiology electronic health record development for DIGICARDIAC implementation
Conference ObjectAbstract: This article presents the development of a Cardiology Electronic Health Record (CEHR) system. SoftwaPalabras claves:Cardiology Electronic Health Record, Electrocardiograph, High Resolution ECG, Telecardiology, telemedicineAutores:Dugarte N., María De Lourdes Huiracocha Tutiven, Rosendo Iván Rojas Reyes, Ruben Medina Molina, Ruben RojasFuentes:googlerraaescopusMobile teleradiology system suitable for m-health services supporting content and semantic based image retrieval on a grid infrastructure
Conference ObjectAbstract: Teleradiology systems tackle the problem of transferring radiological images between medical image wPalabras claves:Autores:B Ochoa Montoya, Blanca Ochoa, F Vega, Francisco Vega, La Cruz Puente Alexandra, Lizandro Damian Solano-Quinde, M.-E Vidal, María-Esther Vidal, Mauricio Espinoza-Mejía, Ruben Medina Molina, Víctor Saquicela, Wilson Perez, Wilson Rodrigo Pérez RocanoFuentes:googlerraaescopusModel-based image analysis of the cardiac function
Conference ObjectAbstract: Many approaches have been proposed to analyze images and extract parameters of cardiac function andPalabras claves:Cardiac electromechanics, Cardiac function, image analysisAutores:Escalona-Morán M., Garreau M., Hernández A., Ruben Medina MolinaFuentes:scopus