UAM Iztapalapa · Electrical Engineering Department
We develop research projects in brain signal processing, brain-computer interfaces, and biomedical image analysis.
EEG Laboratory
BCI Interfaces
Signal Processing
Biomedical Imaging
About the laboratory
The Neuroimaging Research Laboratory (LINI) at the Universidad Autónoma Metropolitana, Iztapalapa campus, develops projects related to the analysis of brain information derived from electroencephalographic (EEG) recordings and anatomical and functional brain magnetic resonance imaging (MRI, fMRI).
The group's interests extend to all applications requiring biomedical data processing using digital signal and image processing techniques. We work in close collaboration with leading national health and research institutions.
View research linesWork areas
Application of image processing and synthesis techniques in neuroscience and cardiology. We work with CT, mammography, structural and functional MRI, nuclear medicine, and ultrasound.
Development of non-invasive surface EEG-based BCI systems providing direct communication between user and device, with applications for people with severe neuromuscular disabilities.
Lab resources
Articles, theses and conference papers available in the publications section.
View publicationsDetails on ongoing research projects, funding sources and collaborations.
Recent achievements, conferences, seminars and lab events.
Information on the Biomedical Engineering graduate program and available fellowships.
Researchers
The four faculty researchers of LINI belong to the Electrical Engineering Department of UAM Iztapalapa and the Digital Signal and Biomedical Image Processing Area.

Full Professor
PhD in Biomedical Engineering · Université de Technologie de Compiègne, France (1991)
SNI Nivel IResearch interests
Pattern recognition in medical images · Brain and cardiac signal processing · Fetal wellbeing analysis via ultrasound · Clinical machine learning


Collaborating researchers
Published in the special issue for the 50th Anniversary of UAM, this article traces over three decades of LINI research in medical image analysis — from early MRI work to current deep learning techniques — always in close collaboration with Mexico's National Health Institutes.
Official channel · LINI UAM-I
Lab tools and resources
Resources developed by LINI and the División de Ciencias Básicas e Ingeniería at UAM-I, openly available for students and the wider community.
Augmented Reality mobile app to showcase undergraduate programs of the División de Ciencias Básicas e Ingeniería. Supported by the PPADI 2024 call, DCBI.
Download the APK directly or the PDF cube to use with the app.
Support material for a two-hour workshop on programming the ESP32 microcontroller with MicroPython. Covers setup, GPIO control, button reading and the HC-SR04 ultrasonic sensor.
Developed by Oscar Yáñez Suárez, LINI.
Open-access EEG database from the P300 Speller paradigm, generated at LINI. Includes recordings from 30 healthy subjects (4 sessions each) in MATLAB format, with support functions for classifier design.
Available to the scientific community. For enquiries write to [email protected].
Tool for combinational and sequential logic modeling, with automatic VHDL generation and automata simulation. Freely available.
Developed by Oscar Yáñez Suárez, Erik René Bojorges Valdez and Omar Piña Ramírez, LINI.
Interactive notebook for setting up a PySpice circuit simulation environment in Google Colab.
Developed by Nikol Orlando Castellanos Díaz and Oscar Yáñez Suárez.
Find us
📌 You can also write directly to the emails listed on the right.