BCN-MEDTECH (UPF)

BCN MedTech
Pioneering New Medical Technologies

BCN MedTech Research Groups

70 people in 5 research groups covering interdisciplinary research and innovation in biomedical engineering

SIMBIOsys
Performs leading research in medical image analysis, biomedical data, computational biomechanics and systems mechanobiology.
PhySense
Synthesizing engineering, physics, and mathematics with physiology and clinical medicine to foster interdisciplinary research.
BERG - Biomedical Electronics Research Group
We concentrate on bioelectrical phenomena, particularly in innovating methods and devices for biomedical use.
NTSA - Nonlinear Time Series Analysis
Our research lies at the intersection of physics, applied mathematics, and neuroscience, with a focus on pioneering nonlinear time series analysis methods.
NDG - Neuronal Dynamics Group
Associate Professor Department of Information and Communication Technologies, UPF, Barcelona.

Our research areas

These are the primary research areas our teams focus on.

Computer Assisted Surgery

Software and devices for surgical planning and for guiding interventions.

We develop simulations and navigation systems for cochlear implants, microwave-based catheters for function colonoscopy, cardiac ablation planning, assisted laparoscopic and fetal surgery.

Medical Image Analysis

Extracting automatically information from multi-modality image data.

Out tools are developed for image segmentation, registration and quantification, to estimate clinically useful information from biomedical image data.

Biomechanics and Mechanobiology

Devices for biomedical applications through delivery of controlled electric currents.

We develop technologies for therapies based on electroporation, mainly for solid tumors, and we are creating extremely thin electronic implants for neuroprosthetics.

Physiological Modelling

Real time fast Software simulations, and also large scale simulations using HCP facilities, for understanding the interaction between components of the body and predicting the effect of therapies.

We develop patient-specific cardiac simulations to predict patient response, simulations of blood flow patterns to assess the risk of thrombus, realistic models of liver ablation with electroporation.

Biomedical Signal Processing

The main objective of this part of our research is to characterize brain functions and dysfunctions from the perspective of dynamical systems theory.

Development of innovative nonlinear signal analysis techniques to study data modalities which are specific for brain recordings.
Analysis of electroencephalographic (EEG) recordings from epilepsy patients with regard to the localization of the seizure-generating brain area, the dynamics underlying seizures, and the predictability of seizures.

Biomedical Electronics

Devices for biomedical applications through delivery of controlled electric currents.

We develop technologies for therapies based on electroporation, mainly for solid tumors, and we are creating extremely thin electronic implants for neuroprosthetics.

Bioelectricity

Understanding electrical phenomena occurring within living organisms and the impact of externally applied currents on living organisms.

We contribute to the development of therapies based on the electroporation phenomenon, mainly for tumor eradication and for cardiac arrhythmia management.

Machine learning for personalised medicine

Making computers learn to perform personalised medicine tasks based on existing biomedical data.

We develop and apply machine learning approaches for computer-aided diagnosis, risk assessment, and treatment planning.

Biomedical Data Handling

Health platforms that gather biomedical information and deliver it straight into the palm of clinicians.

We have a team of software engineer working towards a platform that will provide the data repository, will allow users to execute algorithms in the cloud and an interpretation engine that analyzes biomedical data to get some statistics in a comprehensive way.