Recursos de colección

Archivo Digital UPM (121.743 recursos)

This is an institutional repository providing access to the research output of the institution. Primarily contains thesis.

Materia = Medicina

Mostrando recursos 1 - 20 de 85

  1. Manycore real time constraint achievement using OpenMP and OpenCL to detect cancer cells

    Jarrín Valencia, Jaime Leonardo
    Nowadays, the fields of medical research and IT (Information Technology) work together, discovering and refining methods to determine the different types of diseases that affect humans. In this context, the present research work describes the application of hyperspectral images for the detection of tumors in brain tissue by implementing a processing toolchain divided into two phases: dimensional reduction - applying the Principal Component Analysis (PCA) - and classification - using Vector Support Machines (SVM). Considering that both procedures require a significant amount of processing, using the sequential implementation takes a long time to process it, making it impossible to use in a...

  2. Antigen-Antibody Affinity for Dry Eye Biomarkers by Label Free Biosensing. Comparison with the ELISA Technique

    Laguna Heras, Maria Fe; Holgado Bolaños, Miguel; López Hernández, Ana; Santamaría Fernández, Beatriz; Lavín Hueros, Álvaro; Soria, Javier; Suarez, Tatiana; Bardina, Carlota; Jara, Mónica; Sanza Gutiérrez, Francisco Javier; Casquel Del Campo, Rafael
    The specificity and affinity of antibody-antigen interactions is a fundamental way to achieve reliable biosensing responses. Different proteins involved with dry eye dysfunction: ANXA1, ANXA11, CST4, PRDX5, PLAA and S100A6; were validated as biomarkers. In this work several antibodies were tested for ANXA1, ANXA11 and PRDX5 to select the best candidates for each biomarker. The results were obtained by using Biophotonic Sensing Cells (BICELLs) as an efficient methodology for label-free biosensing and compared with the Enzyme-Linked Immuno Sorbent Assay (ELISA) technique.

  3. Linear closed-loop control using Luenberger observer applied to insulin administration for type 1 diabetes

    Orozco López, Onofré; Castañeda, Carlos E.; Rodríguez Herrero, Agustín; García Sáez, Gema; Hernando Pérez, María Elena
    In this work the design of a Luenberger observer is proposed to estimate the unmeasurable state space variables from Hovorka?s model. This model is linearized and evaluated in an operation point where Luenberger observer is designed using the Ackermann methodology. The observer is employed to estimate the unmeasurable variables of virtual patients which are generated by Bergman?s model. Once the unmeasurable state variables are obtained by the Luenberger observer using only the input-output information of the Bergman?s model, a control algorithm based on eigenvalues relocation trough Ackermann methodology for linear systems is applied. In this methodology, a constant feedback gain...

  4. Study, design and prototyping of arm splint with additive manufacturing process

    Blaya Haro, Fernando; San Pedro, Pilar; López Silva, Julia; D'Amato, Roberto; Juanes Méndez, Juan Antonio; Gómez Lagándara, Juan
    The aim of this study is to propose the additive manufactured 3D printed technique for adaptive organic design splint as a solution for the problems generated by the use of casts in medical applications. Since the end of the XVIII century, when casts begin to be used, they have barely improved. Thanks to new manufacture and material techniques, we can improve and modernize this commonly used fracture treatment method. Based on three dimensional digitalization techniques and modeling via reverse engineering software, a 3D printed splint is proposed, which will provide the benefits of cast avoiding its deficiencies.

  5. Prone to supine surface-based registration for surgical planning in breast cancer treatment

    Alfano, Felicia; Pérez García, F.; Ortuño Fisac, Juan Enrique; Herrero Conde, Mercedes; Bueno Zamora, O.; Calvo, Felipe A.; Lizarraga, Serafín; Santos Lleo, Andrés; Pascau González-Garzón, Javier; Ledesma Carbayo, María Jesús
    Breast cancer is the most common invasive cancer in women worldwide. Many women with breast cancer have their malignant tumors detected before the lesions become clinically palpable. Occult lesions must be marked for the surgeon to ensure that they can be effectively resected. Image-guided wire localization (WGL) is the current standard of care for the excision of non-palpable carcinomas during breast conserving surgery. The integration of the information from multimodal imaging may be especially relevant in surgical planning as complement or an alternative to WGL. The combination of information from images in different positions is especially difficult due to large...

  6. Detecting exercise-induced fatigue using thermal imaging and deep learning

    Bordallo López, Miguel; Blanco Adán, Carlos Roberto del; García Santos, Narciso
    Fatigue has adverse effects in both physical and cognitive abilities. Hence, automatically detecting exercise-induced fatigue is of importance, especially in order to assist in the planning of effort and resting during exercise sessions. Thermal imaging and facial analysis provide a mean to detect changes in the human body unobtrusively and in variant conditions of pose and illumination. In this context, this paper proposes the automatic detection of exercise-induced fatigue using thermal cameras and facial images, analyzing them using deep convolutional neural networks. Our results indicate that classification of fatigued individuals is possible, obtaining an accuracy that reaches over 80% when...

  7. Linear approximation of the behavior of the rotator cuff under fatigue conditions. Violinist case study

    Islán Marcos, Manuel Enrique; Carvajal Ahumada, Jorge; San Pedro, Pilar; D'Amato, Roberto; Juanes Méndez, Juan Antonio; Soriano Heras, Enrique
    The repetitive or sustained movements, that are now intrinsic in work routines, are often direct cause of musculoskeletal injuries located in the shoulder. In the case of the violinists it should be added that these movements are forced, which represents an aggravating to the situation. The present work aims to study the behavior of the glenohumeral joint under different postures that represent the routine of a violinist and under RULA criteria (rapid upper limb assessment). A FEM analysis of the joint was developed by using ANSYS® [VERSION 17.1] software and as geometry of the joint a model generated in CATIA®...

  8. Symptoms analysis of 3D TV viewing based on simulator sickness questionnaires

    Brunnström, Kjell; Wang, Kun; Tavakoli, Samira; Andrén, Börje
    Stereoscopic 3D TV viewing puts different visual demands on the viewer compared to 2D TV viewing. Previous research has reported on viewers’ fatigue and discomfort and other negative effects. This study is to investigate further how severe and what symptoms may arise from somewhat longish 3D TV viewing. The MPEG 3DV project is working on the next-generation video encoding standard and in this process, MPEG issued a call for proposal of encoding algorithms. To evaluate these algorithms a large scale subjective test was performed involving Laboratories all over the world [(MPEG 2011; Baroncini 2012)]. For the participating Labs, it was...

  9. Novel kinematic indices for quantifying upper limb ability and dexterity after cervical spinal cord injury

    Reyes Guzmán, Ana de los; Dimbwadyo Terrer, Iris; Pérez Nombela, Soraya; Monasterio-Huelin Maciá, Felix; Torricelli, Diego; Pons Rovira, José Luis; Gil Agudo, Ángel
    Loss of motor function is a consequence after cervical spinal cord injury. Three-dimensional kinematic analysis equipments are used for quantifying human movements in clinical laboratories. These systems may provide objectivity to the patient assessments. Nowadays, the kinematic variables found in the literature have some defciencies, and the effcient management of these data sets is a demand and a challenge in the clinical setting. The aim of the present paper is to propose a set of novel kinematic indices, as a combination of kinematic variables, for quantifying upper limb motor disorders in terms of characteristics in relation to ability and dexterity...

  10. Counting malaria parasites with a two-stage EM based algorithm using crowsourced data

    Cabrera Bean, Margarita; Pagés Zamora, Alba; Díaz Vilor, Carles; Postigo Camps, María; Cuadrado Sánchez, Daniel; Luengo Oroz, Miguel Ángel
    Abstract: Malaria eradication of the worldwide is currently one of the main WHO's global goals. In this work, we focus on the use of human-machine interaction strategies for low-cost fast reliable malaria diagnostic based on a crowdsourced approach. The addressed technical problem consists in detecting spots in images even under very harsh conditions when positive objects are very similar to some artifacts. The clicks or tags delivered by several annotators labeling an image are modeled as a robust finite mixture, and techniques based on the Expectation-Maximization (EM) algorithm are proposed for accurately counting malaria parasites on thick blood smears obtained by...

  11. Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images

    Nardelli, Pietro; Jimenez Carretero, Daniel; Bermejo Peláez, David; Ledesma Carbayo, Maria Jesus; Rahaghi, Farbod N.; San José Estépar, Raúl
    Artery-vein classification on pulmonary computed tomography (CT) images is becoming of high interest in the scientific community due to the prevalence of pulmonary vascular disease that affects arteries and veins through different mechanisms. In this work, we present a novel approach to automatically segment and classify vessels from chest CT images. We use a scale-space particle segmentation to isolate vessels, and combine a convolutional neural network (CNN) to graph-cut (GC) to classify the single particles. Information about proximity of arteries to airways is learned by the network by means of a bronchus enhanced image. The methodology is evaluated on the...

  12. Non-stationary rician noise estimation in parallel MRI using a single image: A variance-stabilizing approach

    Pieciak, Tomasz; Vegas Sánchez Ferrero, Gonzalo; Aja Fernández, Santiago
    Parallel magnetic resonance imaging (pMRI) techniques have gained a great importance both in research and clinical communities recently since they considerably accelerate the image acquisition process. However, the image reconstruction algorithms needed to correct the subsampling artifacts affect the nature of noise, i.e., it becomes non-stationary. Some methods have been proposed in the literature dealing with the non-stationary noise in pMRI. However, their performance depends on information not usually available such as multiple acquisitions, receiver noise matrices, sensitivity coil profiles, reconstruction coefficients, or even biophysical models of the data. Besides, some methods show an undesirable granular pattern on the estimates...

  13. An open benchmark challenge for motion correction of myocardial perfusion MRI

    Pontré, Beau; Cowan, Brett R.; DiBella, Edward; Kulaseharan, Sancgeetha; Likhite, Devavrat; Noorman, Nils; Tautz, Lennart; Tustison, Nicholas; Wöllny, Gert; Young, Alistair A.; Suinesiaputra, Avan
    Cardiac magnetic resonance perfusion examinations enable noninvasive quantification of myocardial blood flow. However, motion between frames due to breathing must be corrected for quantitative analysis. Although several methods have been proposed, there is a lack of widely available benchmarks to compare different algorithms. We sought to compare many algorithms from several groups in an open benchmark challenge. Nine clinical studies from two different centers comprising normal and diseased myocardium at both rest and stress were made available for this study. The primary validation measure was regional myocardial blood flow based on the transfer coefficient (K-trans), which was computed using a...

  14. Assessment of intraoperative 3D imaging alternatives for IOERT dose estimation

    García Vázquez, Verónica; Marinetto, Eugenio; Guerra Gutiérrez, Pedro; Valdivieso Casique, Manlio Fabio; Calvo Manuel, Felipe Ángel; Alvarado Vásquez, Eduardo; Solé Pesutic, Claudio Vicente; Vosburgh, Kirby Gannett; Desco Menéndez, Manuel; Pascau González-Garzón, Javier
    Intraoperative electron radiation therapy (IOERT) involves irradiation of an unresected tumour or a post-resection tumour bed. The dose distribution is calculated from a preoperative computed tomography (CT) study acquired using a CT simulator. However, differences between the actual IOERT field and that calculated from the preoperative study arise as a result of patient position, surgical access, tumour resection and the IOERT set-up. Intraoperative CT imaging may then enable a more accurate estimation of dose distribution. In this study, we evaluated three kilovoltage (kV) CT scanners with the ability to acquire intraoperative images. Our findings indicate that current IOERT plans may...

  15. The challenge of mapping the human connectome based on diffusion tractography

    Maier-Hein, Klaus H.
    Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically...

  16. TRIP (Travel Remote Infomation Platform) - a platform for monitoring traveler's health

    Rodríguez Valero, Natalia; Ledesma Carbayo, Maria Jesus; Cuadrado Sánchez, Daniel; Vladimorov, Alexander; Vera, I.; Roldán, M.; Alba, T. de; Sanz, S.; Luengo Oroz, Miguel Ángel; Muñoz, J.
    Most of the studies reporting symptoms during the travel are done retrospectively (1),(2), increasing the odds of recall bias. Moreover, there is no information about the percentage of travelers that suffer mild or no symptoms during their trips because they never attend to a clinic afterwards. A IM The main aim of the study is to detect incidence of symptoms real-time amongst travelers visiting tropical and subtropical countries. Also, comparing symptoms between travelers taking or not malaria chemoprophylaxis and other demographic variables.

  17. Ventricular geometry from non-contrast non-ECG-gated CT scans: An imaging marker of cardiopulmonary disease in smokers

    Rahaghi, Farbod N.; Vegas-Sánchez Ferrero, Gonzalo; Minhas, Jasleen K.; Come, Carolyn E.; De La Bruere, Isaac; Wells, James M.; González Díaz, Germán; Bhatt, Surya P.; Fenster, Brett E.; Díaz, Alejandro A.; Kohli, Puja; Ross, James C.; Lynch, David A.; Dransfield, Mark T.; Bowler, Russel P.; Ledesma Carbayo, Maria Jesus; San José Estépar, Raúl; Washko, George R.
    Cardiovascular disease is a major cause of morbidity in smokers, and as much as 50% of the estimated 24 million patients in the United States with chronic obstructive pulmonary disease (COPD) die of cardiovascular causes (1,2). Although echocardiography and cardiac magnetic resonance imaging (MRI) are often used to study cardiac structure and function in COPD (3), these are not routinely deployed in all smokers. Computed tomographic (CT) imaging of the chest is broadly used in clinical care and is increasingly used for lung cancer screening in high-risk smokers (4). Assessment of cardiac structure on those CT scans may help identify...

  18. Detection of motor impairment in Parkinson's disease via mobile touchscreen typing

    Arroyo Gallego, Teresa; Ledesma Carbayo, Maria Jesus; Sánchez Ferro, Álvaro; Butterworth, Ian; Mendoza, Carlos S.; Matarazzo, Michele; Montero Escribano, Paloma; López Blanco, Roberto; Puertas Martín, Verónica; Trincado Soriano, Rocío; Giancardo, Luca
    Mobile technology is opening a wide range of opportunities for transforming the standard of care for chronic disorders. Using smartphones as tools for longitudinally tracking symptoms could enable personalization of drug regimens and improve patient monitoring. Parkinson's disease (PD) is an ideal candidate for these tools. At present, evaluation of PD signs requires trained experts to quantify motor impairment in the clinic, limiting the frequency and quality of the information available for understanding the status and progression of the disease. Mobile technology can help clinical decision making by completing the information of motor status between hospital visits. This paper presents...

  19. Elucidation of molecular kinetic schemes from macroscopic traces using system identification

    Fribourg, Miguel; Logothetis, Diomedes E.; González Maeso, Javier; Sealfon, Stuart C.; Galocha Iraguen, Belén; Las Heras Andrés, Fernando; Brezina, Vladimir
    Overall cellular responses to biologically-relevant stimuli are mediated by networks of simpler lower-level processes. Although information about some of these processes can now be obtained by visualizing and recording events at the molecular level, this is still posible only in especially favorable cases. Therefore the development of methods to extract the dynamics and relationships between the different lower-level (microscopic) processes from the overall (macroscopic) response remains a crucial challenge in the understanding of many aspects of physiology. Here we have devised a hybrid computational-analytical method to accomplish this task, the SYStems-based MOLecular kinetic scheme Extractor (SYSMOLE). SYSMOLE utilizes system-identification input-output...

  20. A multi-sensor fusion scheme to increase life autonomy of elderly people with cognitive problems

    Hernández Peñaloza, Gustavo Adolfo; Belmonte Hernández, Alberto; Quintana González, Marcos; Álvarez García, Federico
    Elderly people care is a major challenge for the smart-cities of future. This represents a valuable opportunity to develop scalable applications to cover the special needs in terms of health monitoring and accessibility for people with cognitive impairments. In this paper, a complete system to support daily activities of elderly people based on a multi-sensor scheme is presented. This system is intended to be deployed not only at home, but also at crowded places, such as daily care centers. A multi-layer architecture is drawn to ensure system modularity and interoperability of heterogeneous data with concurrent services. The proposed system includes...

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