GIB

ANALYSIS OF NEURAL SIGNALS

Oscillatory neural activity reflects the functional brain architecture in real time. Different pathologies, such as Alzheimer Disease, mild cognitive impairment or schizophrenia, modify brain dynamics. This research line is focused on exploring the alterations in the neural activity associated to the previous pathologies, with a threefold purpose:

  • To explore the communication and processing mechanisms of neural information.
  • To identify potential biomarkers.
  • To assess the effectiveness of non-pharmacologic treatments.

  • In order to accomplish these aims, electroencephalographic (EEG) and magnetoencephalographic (MEG) signals are analyzed by means of different advanced signal processing techniques: spectral and nonlinear methods, neural coupling measures and parameters from complex network theory.

    Related videos

    A novel research project, entitled “Caracterización de la actividad neuronal en la enfermedad de Alzheimer mediante la teoría de redes complejas: nuevos biomarcadores para su diagnóstico precoz”, is currently being developed within this research line. Funding comes from the Ministerio de Economía y Competitividad. For additional information about this project, please follow the following link.


    Analysis of Polysomnographic Signals

    Polysomnography is the main source of information to investigate sleep. The automatic analysis of nocturnal cardiorespiratory signals is a very useful approach to detect illnesses such as Sleep Apnea-Hypopnea Syndrome (SAHS) as well as Chronic Obstructive Pulmonary Disease (COPD). The GIB has developed methods to help in their diagnosis by conducting:

  • Spectral, non-linear, and time-frequency analyses applied to polysomnographic recordings.
  • Machine-learning model building to automatically predict diseases.

  • Our research is focused on both adult and children patients. Moreover, we are encouraged in the promotion of interdisciplinary national partnerships in Spain (Hospital Universitario Rio Hortega, Hospital Universitario de Burgos) as well as international collaborations (Charité Universitatsmedizin Berlin, Pritzker School of Medicine of the University of Chicago).

    Related videos

    A research project, entitled “Nuevos paradigmas no hospitalarios para la simplificación del diagnóstico de la apnea del sueño. Diseño y desarrollo de un test de screening automático mediante la señal de oximetría (ScreenOx)”, has been developed within this research line. Funding comes from the "Fundación General CSIC y Obra Social La Caixa" and CSIC. For additional information about this project, please follow the following link.


    Brain-Computer Interface Systems

    Brain-Computer Interface systems (BCI) allow users to control applications using their own brain signals.

    Design, development and evaluation of asistive applications

    The main motivation of the BCI systems is focused on increasing the quality of life of those who have a motor disability that limits their ability to communicate by developing asistive applications. In fact, the Biomedical Engineering Group have developed the following projects:

  • Domotic control application.
  • Cognitive training platform.
  • Asynchronous web browser application.

  • Real-time EEG signal processing

    It is also important to develop and test new real-time signal processing methodologies that favor the generalization and the performance of these systems.

    Related videos

    A research project, entitled “Project CERO in Ageing”, has been developed within this research line. Funding comes from the "Fundación General CSIC y Obra Social La Caixa" and CSIC. For additional information about this project, please follow the following link.


    Analysis of retinal images

    Diabetic retinopathy (DR) is a visual complication of diabetes and has become an important cause of blindness in industrialised countries. Early diagnosis is paramount to avoid a severe vision loss, but requires patients to undergo regular eye examinations in which digital images of the retina are captured. With the growing incidence of diabetes, the development of automatic methods to analyse these images could be an important aid in the diagnosis of DR. To achieve this goal, the Biomedical Engineering Group is involved in the following projects:

  • Automatic detection of lesions associated with DR in retinal images. These lesions include hard exudates and red lesions.
  • Automatic evaluation of the severity of DR in a patient.

  • A research project, entitled “Análisis automático de imágenes de fondo de ojo como implementación a los sistemas de cribado de la retinografía diabética (A2IFO)”, has been developed within this research line. Funding comes from the "Fundación General CSIC y Obra Social La Caixa" and CSIC. For additional information about this project, please follow the following link.


    Analysis of Intracranial Pressure Signals

    Hydrocephalus is characterised by clinical symptoms, ventriculomegaly and disorders in cerebrospinal fluid (CSF) circulation. Infusion tests are routinely used to study CSF dynamics in patients with hydrocephalus. In them, intracranial pressure (ICP) is artificially raised by the injection of fluid in the lumbar CSF space and the resulting pressure is motorized. Infusion tests can be helpful in the decision about the surgical implantation of a CSF shunt in patients with hydrocephalus. However, they are also useful to study cerebral haemodynamics. In the Biomedical Engineering Group, ICP signals recorded during infusion tests are being analysed with two main objectives:

  • To study the spectral and non-linear features of the ICP signal during infusion tests.
  • To determine whether automatic analysis of ICP signals can be helpful in the prediction of the response of patients to shunting.