Research groups

GA16 Lifestyles, Innovation and Health

Lifestyles, Innovation and Health group is an Associated Group of IMIBIC (GA-16) founded in November of 2020. It is formed by clinicians and engineers passionate about how technology and science can improve our lives. This interdisciplinary group is integrated by 13 researchers from different profiles, where both health professionals (physicians, nurses, nutritionists), engineering (computer and agricultural engineers), and education (educational psychologist) stand out.

Our group is mainly focused on offering solutions to prevalent health problems through health promotion and disease prevention interventions, and the development of innovative and technological solutions for diagnosis and treatment, following sustainability and cost-effectiveness criteria and with a distinctly interdisciplinary methodology.

For this reason, the orientation towards the development and validation of tech-based tools (predictive models, hardware and software, and innovative methodologies) for healthcare professionals and the population is the main reason and motive for their creation. Our group is continuously looking for a real impact on society regarding better health outcomes and adopting healthy lifestyles. This approach can be found in every project we designed and executed.

Research Lines

Development of solutions to health problems based on information and communication technologies, with a particular interest in those related to mobile devices.

Development of non-invasive or minimally invasive predictive models based on epidemiological data or collected through sensor systems (IoT) for monitoring health status and early diagnosis of chronic non-communicable diseases, highlighting those linked to cardiovascular health at different stages of life, as well as to people in situations of dependency.

Development of research projects in low-and middle-income countries focused on improving vulnerable populations' health status, especially concerning their nutritional status.

Design and validation of innovative tools, processes, and interventions that improve health outcomes for critically ill patients.

Optimization of algorithms and hardware for computing large volumes of data mainly applied to image processing during surgery.

Processing and analysis of thermographic images fused with conventional cameras, application in Covid-19 detection.

Combination and analysis of data obtained from sensors, vision, advanced processors, and artificial intelligence for the realization of movement and behavior models linked to health/disease patterns.

Networks

    Research groups pertaining to the Andalusian Plan for Research, Development and Innovation (PAIDI):

    • HUM-298
    • AGR-13
    • TEP-226 (PRINIA)
    • TIC-252 (GIIA)

    REDENSO (Red de Investigación en Enfermería de Salud Ocupacional)

Keywords

  • mHealth
  • eHealth
  • Cardiovascular health
  • Nutrition
  • Health promotion
  • International cooperation
  • Prevention
  • Occupational health
  • Predictive models
  • Non-invasive techniques
  • Critical care
  • Internet of things
  • Algorithm and hardware optimization
  • Artificial Intelligence

Additional Information

Research projects and contracts

Technology, Innovation and Healthcare:

SANCYD-VEGENAT - Uso de las TICs para Control del Peso en Pacientes con Sobrepeso u Obesidad. 2017-2018.

Monitorización inalámbrica de Pacientes en Instalaciones Hospitalarias (P11-TIC-7462). Proyecto de Investigación de Excelencia. Junta de Andalucía. 2013-2016.

GPU Processing for Planning of Liver Resection Surgery (NILS 004-2BBRR). EEA Grants. 2015-2015.

Lifestyles and Healthcare:

Validación en castellano del cuestionario Mini Nutritional Assessment (MNA) para la valoración del estado nutricional de pacientes mayores de 65 años. Fundación Pública Andaluza Progreso y Salud (PI-0064-2016-AP).2016-2018.

Desarrollo de alimentos funcionales con elevado potencialantioxidante y efectos antitumorales y cardiosaludables, a partir de brotes de crucíferas seleccionadas y mejoradas. Universidad de Córdoba (XXI PP. Modalidad 4.1). 2017-2018.

Análisis de los Equipos de Protección Individual según una perspectiva de género. Instituto Andaluz de Prevención de Riesgos Laborales. 2015-2016.

BARÇA ANTIBULLYING: Diseñar e Implementar un programa para la Fundació Futbol Club Barcelona de Prevención de Acoso Escolar. Fundació Futbol Club Barcelona. 2018-2019.

Patents and software property registration

Intellectual Property Registration. NUMO -Aplicación para la cesación tabáquica- (RTA-00178-2019). 2019.

Registro de la propiedad intelectual. NUMO REC. APLICACIÓN PARA REGISTRO DEL CONSUMO TABÁQUICO (RTA25617). 2018.

Intellectual Property Registration. NIMWEB Y APLICACIÓN PARA EL DIAGNÓSTICO DE SÍNDROME METABÓLICO (RTA-256-17). 2016.

Patent. Tira reactiva aplicable para la determinación y cuantificación de isoniacida en orina (009902121). 1999.

Industry contracts

Teleasistencia Móvil. Ineprodes SL. 2013-2014.

International cooperation

Estudio de factibilidad para la implementación de huertos escolares en Chile. UNAEB, Ministerio de Educación. Gobierno de Chile. 2017.

Valoración e intervención nutricional, familiar y comunitaria en el distrito de Belén (Iquitos, Perú)". Área de Cooperación de la Universidad de Córdoba. 2017.

Inseguridad alimentaria y estado nutricional de población refugiada colombiana en Ecuador. Pontifica Universidad Católica del Ecuador. 2016.

Medios de vida sostenibles e integración social en Esmeraldas, Ecuador. Pontifica Universidad Católica del Ecuador/ACNUR. 2015.

Highlighted publications

Technology, Innovation and Healthcare:

A Hernández-Reyes, F Cámara-Martos, R Molina-Luque, M Romero-Saldaña, G Molina-Recio, R Moreno-Rojas. Changes in body composition with a hypocaloric diet combined with sedentary, moderate and high-intense physical activity: a randomized controlled trial. BMC Womens Health. 2019 Dec 27;19(1):167. doi: 10.1186/s12905-019-0864-5.

Francisco J Rodriguez-Lozano, Fernando León-García, M Ruiz de Adana, Jose M Palomares, J Olivares. Non-Invasive Forehead Segmentation in Thermographic Imaging. Sensors (Basel). 2019 Sep 22;19(19):4096. doi: 10.3390/s19194096.

F. Leon-Garcia, F. J. Rodriguez-Lozano, J. Olivares, and J. M. Palomares. Data Communication Optimization for the Evaluation of Multivariate Conditions in Distributed Scenarios. IEEE Access 2019 (Volume: 7) Pages: 123473 - 123489. doi: 10.1109/ACCESS.2019.2936918.

F. Espinosa Zapata, J. L. Lázaro Galilea, and J. Olivares Bueno. Proyecto ALCOR: Contribuciones a la Optimización del Guiado Remoto de Robots en Espacios Inteligentes. Rev. Iberoam. Automática e Informática Ind., vol. 15, no. 4, p. 416, Sep. 2018.

F. Leon-Garcia, J. Palomares, and J. Olivares. D2R-TED: Data—Domain Reduction Model for Threshold-Based Event Detection in Sensor Networks. Sensors, vol. 18, no. 11, p. 3806, Nov. 2018.

José María Castillo-Secilla, José Manuel Palomares, Fernando León, Joaquín Olivares. Homomorphic Filtering for Improving Time Synchronization in Wireless Networks. Sensors (Basel). 2017 Apr 20;17(4):909. doi: 10.3390/s17040909.

Lifestyles and Healthcare:

Hernández Martín MM, Romero-Saldaña M, Pacheco Del Cerro JL, Alonso-Safont T, Molina-Recio G, Meneses Monroy A. Occupational and work-related disease underestimated and linked to temporary disability through Primary Health Care Services. J Nurs Manag. 2019 Sep;27(6):1140-1147. doi: 10.1111/jonm.12785.

Molina-Luque R, Romero-Saldaña M, Álvarez-Fernández C, Bennasar-Veny M, Álvarez-López Á, Molina-Recio G. Equation Córdoba: A Simplified Method for Estimation of Body Fat (ECORE-BF). Int J Environ Res Public Health. 2019 Nov 15;16(22):4529. doi: 10.3390/ijerph16224529.

Romero-Saldaña M, Tauler P, Vaquero-Abellán M, López-González AA, Fuentes-Jiménez FJ, Aguiló A, Álvarez-Fernández C, Molina-Recio G, Bennasar-Veny M. Validation of a non-invasive method for the early detection of metabolic syndrome: a diagnostic accuracy test in a working population. BMJ Open. 2018 Oct 21;8(10):e020476. doi: 10.1136/bmjopen-2017-020476.

Muñoz Díaz B, Molina-Recio G, Romero-Saldaña M, Redondo Sánchez J, Aguado Taberné C, Arias Blanco C, Molina-Luque R, Martínez De La Iglesia J. Validation (in Spanish) of the Mini Nutritional Assessment survey to assess the nutritional status of patients over 65 years of age. Fam Pract. 2019 Mar 20;36(2):172-178. doi: 10.1093/fampra/cmy051. Erratum in: Fam Pract. 2019 Jul 31;36(4):528.

Romero-Saldaña M, Fuentes-Jiménez FJ, Vaquero-Abellán M, Álvarez-Fernández C, Aguilera-López MD, Molina-Recio G. Predictive Capacity and Cutoff Value of Waist-to-Height Ratio in the Incidence of Metabolic Syndrome. Clin Nurs Res. 2019 Jul;28(6):676-691. doi: 10.1177/1054773817740533.

Romero-Saldaña M, Fuentes-Jiménez FJ, Vaquero-Abellán M, Álvarez-Fernández C, Molina-Recio G, López-Miranda J. New non-invasive method for early detection of metabolic syndrome in the working population. Eur J Cardiovasc Nurs. 2016 Dec;15(7):549-558. doi: 10.1177/1474515115626622.

International Cooperation:

Villena-Esponera MP, Moreno-Rojas R, Molina-Recio G. Validation of a Scale to Assess Household Food Insecurity in One Rural and One Periurban Area of Ecuador, with a High Percentage of Migrants. Ecol Food Nutr. 2019 Mar-Apr;58(2):104-119. doi: 10.1080/03670244.2019.1570177.

García Rodríguez M, Romero Saldaña M, Alcaide Leyva JM, Moreno Rojas R, Molina Recio G. Design and validation of a food frequency questionnaire (FFQ) for the nutritional evaluation of food intake in the Peruvian Amazon. J Health Popul Nutr. 2019 Dec 19;38(1):47. doi: 10.1186/s41043-019-0199-8.

Rodríguez MG, Saldaña MR, Leyva JMA, Rojas RM, Molina-Recio G. The FINDRISC questionnaire capacity to predict diabetes mellitus II, arterial hypertension and comorbidity in women from low-and-middle-income countries. Health Care Women Int. 2020 Feb;41(2):205-226. doi: 10.1080/07399332.2019.1680678.

Villena-Esponera MP, Moreno Rojas R, Mateos-Marcos S, Salazar-Donoso MV, Molina Recio G. Validation of a photographic atlas of food portions designed as a tool to visually estimate food amounts in Ecuador. Nutr Hosp. 2019 Apr 10;36(2):363-371. English. doi: 10.20960/nh.2147.

Villena-Esponera MP, Moreno-Rojas R, Molina-Recio G. Food Insecurity and the Double Burden of Malnutrition of Indigenous Refugee Épera Siapidara. J Immigr Minor Health. 2019 Oct;21(5):1035-1042. doi: 10.1007/s10903-018-0807-5.

GA16 Lifestyles, Innovation and Health

Principal Investigator
Guillermo Molina Recio

Postdoctoral Researchers
Antonio Jesús Rodríguez Hidalgo
Fernando León García
Francisco Javier Rodríguez Lozano 
Héctor Martínez Pérez
Joaquín Olivares Bueno
Jorge Martínez de la Iglesia
José Manuel Palomares Muñoz
Laura García Hernández
Manuel Romero Saldaña
María García Rodríguez
María Pilar Villena Esponera
Rafael Molina Luque

Projects

Active in 2020

National

Smart-Fog: Intelligent distributed processing architectures in Fog level for the IoT paradigm. (RTI2018-098371-B-I00) MINECO Ministerio de Ciencia, Innovación y Universidades. 2019-2020.

Desarrollo de Alimentos Funcionales y Nutracéuticos con Efectos Antioxidantes, Antitumorales y Cardiosaludables a Partir de una Selección de Crucíferas Mediterráneas. Consejería de Economia, Conocimiento, Empresas y Universidad (1261749-R). 2020-2021.

International

HiPerNav - High Performance Soft-tissue Navigation (H2020-MSCA-ITN-2016). European Commission. 2016-2020.

ALive: Analytics for computation and visualization of liver resections. IKTPluss-Large-scale strategic initiative on information technology and digital innovation. The Research Council of Norway. 2020-2023.

 

 

 

Publications

2020

Guillermo Molina-Recio, Rafael Molina-Luque, Ana M Jiménez-García, Pedro E Ventura-Puertos, Alberto Hernández-Reyes, Manuel Romero-Saldaña. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR Mhealth Uhealth. 2020 Apr 22;8(4):e14376. doi: 10.2196/14376.

Alberto Hernández-Reyes, Fernando Cámara-Martos, Guillermo Molina Recio, Rafael Molina-Luque, Manuel Romero-Saldaña, Rafael Moreno Rojas. Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Feb 12;8(2):e13747. doi: 10.2196/13747.

A Hernández-Reyes, G Molina-Recio, R Molina-Luque, M Romero-Saldaña, F Cámara-Martos, R Moreno-Rojas. Effectiveness of PUSH notifications from a mobile app for improving the body composition of overweight or obese women: a protocol of a three-armed randomized controlled trial. BMC Med Inform Decis Mak. 2020 Feb 24;20(1):40.  doi: 10.1186/s12911-020-1058-7.

Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares. Accelerating Chan-Vese model with cross-modality guided contrast enhancement for liver segmentation. Comput Biol Med. 2020 Sep;124:103930. doi: 10.1016/j.compbiomed.2020.103930. Epub 2020 Jul 29.

Orestis Zachariadis, Andrea Teatini, Nitin Satpute, Juan Gómez-Luna, Onur Mutlu, Ole Jakob Elle, Joaquín Olivares. Accelerating B-spline interpolation on GPUs: Application to medical image registration. Comput Methods Programs Biomed. 2020 Sep;193:105431. doi: 10.1016/j.cmpb.2020.105431. Epub 2020 Mar 3.

Nitin Satpute, Rabia Naseem, Rafael Palomar, Orestis Zachariadis, Juan Gómez-Luna, Faouzi Alaya Cheikh, Joaquín Olivares. Fast parallel vessel segmentation.  Comput Methods Programs Biomed. 2020 Aug;192:105430. doi: 10.1016/j.cmpb.2020.105430. Epub 2020 Mar 3.

Nitin Satpute, Rabia Naseem, Egidijus Pelanis, Juan Gómez-Luna, Faouzi Alaya Cheikh, Ole Jakob Elle, Joaquín Olivares. GPU acceleration of liver enhancement for tumor segmentation. Comput Methods Programs Biomed. 2020 Feb;184:105285. doi: 10.1016/j.cmpb.2019.105285. Epub 2019 Dec 17.

Jurado-García A, Molina-Recio G, Feu-Collado N, Palomares-Muriana A, Gómez-González AM, Márquez-Pérez FL, Jurado-Gamez B. Effect of a Graduated Walking Program on the Severity of Obstructive Sleep Apnea Syndrome. A Randomized Clinical Trial. Int J Environ Res Public Health. 2020 Aug 31;17(17):6334. doi: 10.3390/ijerph17176334.

Rodríguez-Guerrero E, Romero-Saldaña M, Fernández-Carbonell A, Molina-Luque R, Molina-Recio G. New Simplified Diagnostic Decision Trees for the Detention of Metabolic Syndrome in the Elderly. Int J Environ Res Public Health. 2020 Jul 18;17(14):5191. doi: 10.3390/ijerph17145191.

Vaquero-Álvarez M, Molina-Luque R, Fonseca-Pozo FJ, Molina-Recio G, López-Miranda J, Romero-Saldaña M. Diagnostic Precision of Anthropometric Variables for the Detection of Hypertension in Children and Adolescents. Int J Environ Res Public Health. 2020 Jun 19;17(12):4415. doi: 10.3390/ijerph17124415.

Muñoz Díaz B, Martínez De La Iglesia J, Romero-Saldaña M, Molina-Luque R, Arenas de Larriva AP, Molina-Recio G. Development of predictive models for nutritional assessment in the elderly. Public Health Nutr. 2020 Aug 5:1-8. doi: 10.1017/S1368980020002153.

Molina-Luque R, Romero-Saldaña M, Álvarez-Fernández C, Rodríguez-Guerrero E, Hernández-Reyes A, Molina-Recio G. Waist to Height Ratio and Metabolic Syndrome as lung dysfunction predictors. Sci Rep. 2020 Apr 29;10(1):7212. doi: 10.1038/s41598-020-64130-0.

Iturbide-Casas MA, Cámara-Martos F, Molina-Luque R, Molina-Recio G. Survival Analysis of Enterally Fed Patients: Prognosis and Mortality Risk According to Baseline Characteristics. JPEN J Parenter Enteral Nutr. 2020 Aug;44(6):1057-1065. doi: 10.1002/jpen.1745.

 

Members

Dr. Guillermo Molina Recio

Principal Investigator

Team

Guillermo Molina Recio, Manuel Romero Saldaña, Laura García Hernández, Antonio Jesús Rodríguez Hidalgo, Rafael Molina Luque, Jorge Martínez de la Iglesia, María García Rodríguez, María Pilar Villena Esponera, Joaquín Olivares Bueno, José Manuel Palomares Muñoz, Fernando León García, Francisco Javier Rodríguez Lozano, Héctor Martínez Pérez