Biomedical and Telemedicine Research Group (IBT)

Submitted by francisco.grimaldi on Tue, 07/07/2020 - 09:15
University
University of Cadiz
Faculty/school/department
ESCUELA SUPERIOR DE INGENIERIA/ INGENIERIA EN AUTOM, ELEC., ARQ. Y RED.
Size of the team
number of researchers number of supporting staff number of PhD students
7
0
0
PI
PI name
SANCHEZ MORILLO DANIEL
PI email
daniel.morillo@uca.es
PI bio

Daniel Sanchez-Morillo is a Doctor by the University of Cadiz (UCA) and a Telecommunications Engineer by the Superior Technical School of Engineering of Seville since 2000. He started his professional career in the private sector (2000-2010) and since 2017 he is University Professor in the area of Systems Engineering and Automation. His research activity has been developed within the Biomedical Engineering and Telemedicine Research Group (IBT) that he now coordinates, and his research interests focus on the application of artificial intelligence techniques for the generation of predictive models in e-health and in the processing and analysis of biomedical signals and images.

Contact person and e-mail
Contact person
SANCHEZ MORILLO DANIEL
Contact person e-mail
daniel.morillo@uca.es
WWW
http://tic212.uca.es
Short description of research profile

1. Big-Data and predictive models based on biosignals and symptoms in the field of e-health.

Research area
ENGINEERING AND TECHNOLOGY
Publications

Representative publications

Automatic Segmentation of Whole-Slide H&E Stained Breast Histopathology Images using a Deep Convolutional Neural Network Architecture Blanca Maria Priego-Torres, Daniel Sanchez-Morillo, Miguel Angel Fernandez-Granero, Marcial Garcia-Rojo Expert Systems with Applications   (2020) Vol: 151. Pgs: 113387- https://doi.org/10.1016/j.eswa.2020.113387
Automated Home Oxygen Delivery for Patients with COPD and Respiratory Failure: A New Approach Daniel Sanchez-Morillo, Pilar Muñoz-Zara, Alejandro Lara-Doña, Antonio Leon-Jimenez Sensors 2020. Vol:20. No:4. Pgs:1178. https://doi.org/10.3390/s20041178
Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease Daniel Sánchez Morillo, A León Jiménez, Sonia Astorga Moreno Journal of the American Medical Informatics Association 2013. Vol:20. No: e1, Pgs:e111-e117 https://doi.org/10.1136/amiajnl-2012-001171
Novel multiclass classification for home-based diagnosis of sleep apnea hypopnea syndrome Daniel Sánchez-Morillo, MA López-Gordo, A León Expert Systems with Applications 2014. Vol:41. No: 4(2). Pgs:1654-1662 https://doi.org/10.1016/j.eswa.2013.08.062
Spreading codes enables the blind estimation of the hemodynamic response with short-events sequences MA Lopez-Gordo, D Sánchez-Morillo, MAJ Van Gerven International journal of neural systems 2015. Vol: 25. No:01. Pgs:1450035. https://doi.org/10.1142/S012906571450035X

Link to extended list of publication

https://tic212.uca.es/publicaciones-en-revistas/
Technology Expertise

The Research Group on Biomedical Engineering and Telemedicine (IBT) is a multidisciplinary group composed of researchers from the University of Cadiz from the field of engineering (telecommunications, industrial, computer science) and participated by researchers and professionals from the Public Health System of Andalusia (pathologists, and ophthalmologists, and with close collaboration with pulmonologists).  It is hosted by the Escuela Superior de Ingeniería.  It was created in 2007, within the framework of the Andalusian Research Plan and has been assigned the TIC-212 identifier.
In the last official evaluation, the IBT group was placed as the first group of the University of Cadiz in the field of information technology and communications (ICT).
Among the objectives and purposes of the IBT group are to integrate the physical, mathematical and life sciences with the principles of engineering for the study of biology, medicine and health systems and for the application of technology to improve health and quality of life. The group has solid research experience through its participation in regional, national, and international research projects.