Now showing items 98-105 of 105

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      Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol  [Article]

      Hors Fraile, Santiago; Schneider, Francine; Fernández Luque, Luis; Luna Perejón, Francisco; Civit Balcells, Antón; Spachos, Dimitris; Bamidis, Panagiotis D.; Vries, Hein de (BMC, 2018)
      Background: Smoking is one of the most avoidable health risk factors, and yet the quitting success rates are low. The usage of tailored health messages to support quitting has been proved to increase quitting success ...
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      The minimum maximal k-partial-matching problem  [Article]

      García Vargas, Ignacio; Senhadji Navarro, Raouf (Springer, 2013)
      In this paper, we introduce a new problem related to bipartite graphs called minimum maximal k-partial-matching (MMKPM) which has been modelled by using a relaxation of the concept of matching in a graph. The MMKPM problem ...
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      The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment  [Article]

      Martínez-Millana, Antonio; Zetti, Annabel; Floch, Jacqueline; Calvo-Lerma, Joaquim; Sevillano Ramos, José Luis; Ribes-Koninckx, Carmen; Traver Salcedo, Vicente (JMIR Publications, 2019)
      Background: Remote care services and patient empowerment have boosted mobile health (mHealth). A study of user needs related to mHealth for pediatric cystic fibrosis (PCF) identified the set of preferred features mobile ...
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      Towards a cloud‑based automated surveillance system using wireless technologies  [Article]

      Salmerón García, Javier Jesús; Dries, Sjoerd van den; Díaz del Río, Fernando; Morgado Estévez, Arturo; Sevillano Ramos, José Luis; Molengraft, M. J. G. van de (Springer, 2019)
      Cloud Computing can bring multiple benefits for Smart Cities. It permits the easy creation of centralized knowledge bases, thus straightforwardly enabling that multiple embedded systems (such as sensor or control devices) ...
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      TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation  [Article]

      Civit-Masot, Javier; Luna Perejón, Francisco; Vicente Díaz, Saturnino; Rodríguez Corral, José María; Civit Balcells, Antón (IEEE Computer Society, 2019)
      Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the ...
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      Using the Social-Local-Mobile App for Smoking Cessation in the SmokeFreeBrain Project: Protocol for a Randomized Controlled Trial  [Article]

      Jódar Sánchez, Francisco; Carrasco Hernández, Laura; Núñez Benjumea, Francisco José; Mesa González, Marco Antonio; Moreno Conde, Jesús; Parra Calderón, Carlos Luis; Fernández Luque, Luis; Hors Fraile, Santiago; Civit Balcells, Antón; Bamidis, Panagiotis D.; Ortega Ruiz, Francisco (JMIR Publications, 2018)
      Background: Smoking is considered the main cause of preventable illness and early deaths worldwide. The treatment usually prescribed to people who wish to quit smoking is a multidisciplinary intervention, combining both ...
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      Wearable Fall Detector Using Recurrent Neural Networks  [Article]

      Luna Perejón, Francisco; Domínguez Morales, Manuel Jesús; Civit Balcells, Antón (MDPI, 2019)
      Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems. ...
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      Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana  [Article]

      Domínguez Morales, Juan Pedro; Ríos Navarro, José Antonio; Domínguez Morales, Manuel Jesús; Tapiador Morales, Ricardo; Gutiérrez Galán, Daniel; Cascado Caballero, Daniel; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2016)
      The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals is a difficult task due to the difficulties of tracking and classifying their actions. Nowadays, ...