The incorporation of technology into medicine has revolutionized diagnoses, facilitated treatments and helped discover diseases, among many other benefits that impact both the daily work of doctors and the quality of life of people.
Engineering is nourished with information from medicine, so it can provide innovative solutions to strengthen health services and accelerate patient waiting times in a system that often faces much more demand than it can meet.
To contribute to the development of this interdisciplinary link, AC3E’s Biomedical Systems research line covers a wide range of research topics, including portable monitoring systems, biomedical signal processing, physiological modeling, computational neuroscience, neuropsychology and biorobotics, all applied primarily to vision, voice and hearing issues.
This interdisciplinary group is made up of researchers from the Department of Electronic Engineering at Universidad Técnica Federico Santa María, health professionals and researchers from the Schools of Biomedical Engineering of Universidad de Concepción and Universidad de Valparaíso, and the latter’s Interdisciplinary Center of Neurosciences.
The team advances collaborative projects with internationally renowned centers such as Harvard Medical School (USA), Massachusetts Institute of Technology (USA), Institut de Neurosciences de la Timone (France), and University of Manchester (UK). In addition, it participates in joint projects financed through grants from the National Institutes of Health (NIH), MIT-Chile, the Institut National de Recherché en Informatique et en Automatique (INRIA) and the Agence Nationale de la Recherché (ANR), among others. The group has been particularly active in technology transfer through patents and CORFO and FONDEF projects.
Its work has focused on signals, sensors and biomedical devices, neuroengineering and rehabilitation engineering, and modeling of physiological systems, generating an important contribution to the development of health technologies in our country.
PhD Students:
David Araya, U. de Valparaíso
Sebastián Orellana, U. de Valparaíso
Fernando Lehue, U. de Valparaíso
Alejandro Ibacache, U. de Valparaíso
Pamela Illescas, U. de Valparaíso
Diego Becerra, U. de Valparaíso
Rodrigo Donoso, Pontificia Universidad Católica
Matías Uriarte, U. de Chile
Simón San Martín, U. de Chile
Master’s Students:
Cristina de Gatica, U. de Chile
Gabriela Mora, U. de Chile
Carlos Saldivia, UTFSM
Sebastián Espinoza, UTFSM
Johanna Dahm, UTFSM
Pablo Vega, U. de Concepción
Undergraduate Students:
Javier Díaz, UTFSM
Research Line: Biomedical Systems
Research Areas:
– Digital Signal Processing
– Biomedical Acoustics
– Voice Production
– Physiological Systems Modeling
– Bioacoustic Sensors
Education:
Ph.D., School of Electrical and Computer Engineering, Purdue University, USA (2010)
Master of Science in Engineering (M.S.), School of Electrical and Computer Engineering, Purdue University, USA (2006)
Acoustical Engineering, Universidad Vicente Pérez Rosales, Chile (1999)
Bachelor of Science (B.S.), Acoustical Engineering, Universidad Vicente Pérez Rosales, Chile (1996)
Institution: UTFSM
Email:
matias.zanartu@usm.cl
Personal Website:
https://scholar.google.com/citations?user=Vj4mHpEAAAAJ&hl=en
Research Line:
Biomedical Systems
Research Areas:
– Medical Image Analysis
-Structural Brain Connectivity Study
-Scientific Visualization
-High-Performance Software Development
-Application Development for the Health Sector
Education:
Doctor in Physics, School of Information Sciences, Telecommunications, and Systems (STITS), Université Paris-Sud, France (2011)
Master in Information, Systems, and Technology (IST), specializing in Medical Imaging, Université Paris-Sud, France (2007)
Civil Electronic Engineer, Universidad de Concepción, Chile (2001)
Institution: Universidad de Concepción
Email:
pamela.guevara@biomedica.udec.cl
Personal Website:
https://scholar.google.com/citations?user=Bf2VTFYAAAAJ&hl=es
Research Line:
Biomedical Systems
Research Areas:
– Mathematical Models Inspired by the Biophysics of Neuronal Excitability, Applied to Sensory Systems
– Simulation and Mathematical Analysis of Oscillatory Neuronal Models
– Effect of the Stochastic Behavior of Ionic Channels in Neuronal Dynamics
Education:
Doctor in Sciences, Major in Cellular and Molecular Biology and Neuroscience, Universidad de Chile, Chile (2004)
Biochemistry, Universidad de Chile, Chile (2000)
Degree in Biochemistry, Universidad de Chile, Chile (1997)
Institution: Universidad de Valparaíso
Email:
patricio.orio@uv.cl
Personal website:
Research Line:
Biomedical Systems
Research Areas:
-Biomedical Signal Processing
-Bioinstrumentation
-Embedded Systems
Education:
Ph.D. in Electrical Engineering, Colorado School of Mines, USA (2013)
Civil Electronic Engineer, Universidad Técnica Federico Santa María, Chile (2000)
Institution: UTFSM
Email:
alejandro.weinstein@usm.cl
Personal website:
https://scholar.google.com/citations?user=jkHEZuoAAAAJ&hl=en
Research Line:
Biomedical Systems
Research Areas:
– Efferent Auditory System and Attention
– Aging, Cognition, and the Auditory System
– Cochlear Implants
– Brain and Auditory Activity in Patients with Hearing Loss and Tinnitus
Education:
Otorhinolaryngologist, Universidad de Chile, Chile (2010)
Ph.D. in Biomedical Sciences, Universidad de Chile, Chile (2006)
Medical Doctor, Universidad de Chile, Chile (2000)
Institution: Universidad de Chile
Email:
pdelano@med.uchile.cl
Personal website:
Línea de Investigación:
Sistemas Biomédicos
Personal website:
https://scholar.google.com/citations?user=m6IbAvkAAAAJ&hl=en
Research Line:
Biomedical Systems
Research Areas:
-Health data analysis
-Natural language processing in medicine
Education:
PhD in Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom (2016)
Master in Physical Sciences, University of Chile (2010)
Bachelor in Physical Sciences, University of Chile (2007)
Institution: Universidad Católica
Email:
jdunstan@uc.cl
Personal website:
https://scholar.google.co.uk/citations?user=geH4mS0AAAAJ&hl=en
Research Line:
Biomedical Systems
Research Areas:
-Digital signal processing
-Machine learning
Education:
Bachelor of Science, Electrical Engineering, University of California, Los Angeles
Master of Science, Electrical Engineering, University of California, Los Angeles
PhD, Electronic Engineering, Universidad Técnica Federico Santa María, Chile
Institution: UTFSM
Email:
juan.cortess@usm.cl
Personal website:
https://scholar.google.com/citations?user=yEIbzdgAAAAJ&hl=en
Research Line:
Biomedical Systems
Research Areas:
-Biomedical signal processing
-Machine learning
-Computational models for voice production
Education:
Ph.D. in Electronic Engineering, Universidad Técnica Federico Santa María
Master’s in Biomedical Engineering, Universidad de Los Andes, Venezuela
Electrical Engineer, Universidad de Los Andes, Venezuela
Institution: UTFSM
Supervisor: Matías Zañartu
Email:
emiro.ibarra@sansano.usm.cl
Personal website: