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Biomedical Signals and Systems

The researchers of the Biomedical Signals and Systems offer solutions to companies, hospitals and institutions in the field of technological applications to be used in health centres, including them in surgical instruments.

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Research Lines

Some techniques used in Biomedical Signals and Systems are: time-frequency representation, complexity analysis, modeling with neuronal meshes and non-lineal dynamic systems analysis.

  • Analysis of variability of breathing pattern used methods of nonlinear dynamic to determine the optimal time of extubation in patients undergoing artificial ventilation.
  • Analysis of heart rate variability through Markov chains for identification of patients at high risk of sudden death.
  • Time-frequency analysis of electrocardiogram signals for diagnosing heart disease.
  • Analysis of electromyographic and vibromyographic signals of respiratory muscles.
  • Characterization of DNA sequences for the diagnosis of pathologies.
  • Time-frequency characterization of wheezing during forced exhalation in the diagnosis of patients with asthma.
  • Automatic detection of pathological snoring in sleep studies.
  • Interpretation of signals muscle for the rehabilitation of urinary incontinence.
  • Monitoring the level of patient awareness during surgery by fractal dimensions.
  • Prediction of properties of proteins from DNA sequences.
  • Multichannel analysis systems and sensors for rehabilitation and clinical monitoring.
  • Dynamic interaction analysis in non-invasive multichannel biosignals for rehabilitation and therapy.

imatge icona contacte Centre de Recerca en Enginyeria Biomedica

Manel González Piñero
creb.researchupc.edu
+34 93.401.16.93

Services

  • Analysis and development of software for biomedical signal processing.
  • Development of biomedical instrumentation for diagnosis, based on PC.
  • Analysis of respiratory sounds.
  • Analysis and control of biological systems by computer simulation.
  • System for measurement and evaluation of Holter ECG signals.
  • Developing systems for high-resolution electrocardiography.

Scientific Productions

Bioinformatics and Biomedical Signals Laboratory (B2SLab)
This research group is focused on the analysis of bioinformatic and biomedical signals.

BIOsignal Analysis for Rehabilitation and Therapy Research Group (BIOART)

BIOART activities are based on biomedical signal processing and modelling and simulation of biological systems.