Medical signals and instrumentation

Biomedical signal processing and interpretation

Prof. Dr. Jané, Raimon
Group Leader

Torre I - Planta 9 | Baldiri Reixach, 4 | 08028 | Barcelona
Email :

Research Topics

Multichannel-Multimodal Biomedical Signal Processing / Sleep-disordered breathing analysis and interpretation / Non-invasive respiratory monitoring / Respiratory sounds analysis in Chronic Obstructive Pulmonary Disease / Advanced signal processing techniques to define new indices of cardiac risk / Multimodal interactions interpretation of blood pressure, electrocardiogram and respiration

The group’s research addresses the design and development of advanced signal processing techniques and the interpretation of biomedical signals to improve non-invasive monitoring, diagnosis, disease prevention and pathology treatment. Our main objective is to improve diagnosis capability through the characterization of physiological phenomena and to enhance early detection of major cardiac and respiratory diseases and sleep disorders.


Non-invasive assessment of muscle efficiency by electromyographic and mechanomyographic signal interpretation.






We propose and design new signal processing algorithms and develop new biosignal databases, with the collaboration of our hospital partners. To validate the clinical information of new surface signals, we have developed specific invasive/non-invasive protocols and animal models. The group focuses its research in a translational way to promote the transfer of our scientific and technological contributions. Currently, our prototypes are used in hospitals for research purposes and for future industrial developments.


Multimodal biosignal interpretation in a SAHS rat model

Highlights in 2013:

Obstructive Sleep Apnea and Sleep Disorders
  • An automatic non-invasive analysis method for the differentiation of obstructive and central hypopneas based solely on a single-channel nasal airflow signal (Respiration, 85(4), 312- 318), with the Institute of Biomedical Engineering (Karlsruhe), the Klinikum Bethanien and MCC-Med, Germany.
  • Assessment of the effects of anesthesia on autonomic nervous system in a rat model of Obstructive Sleep Apnea (Computing in Cardiology 2013, 1011-1014), with Daniel Navajas’ group and the Biophysics and Bioengineering Unit of the School of Medicine, the University of Barcelona, and the University of Zaragoza.
  • New sleep transition indexes for describing altered sleep in patients with Sleep Apnea Hypopnea Syndrome (SAHS) (MEDICON 2013, 1017-1020), with the Hospital Germans Trias i Pujol, Badalona.

Chronic Obstructive Pulmonary Disease and Asthma

  • A new method to non-invasive assessment of the diaphragm muscle efficiency (Journal of Electromyography and Kinesiology, 23(3), 548-557, IEEE-EMBC 2013, 3845-3848, and MEDICON 2013, 1004-1008), with the Hospital Germans Trias i Pujol, Badalona.
  • Characterization of laplacian surface electromyographic signals in biceps brachii (IEEE-EMBC 2013, 535-538) and in diaphragm (MEDICON 2013, 977-980), with the Universidad Politécnica de Valencia.
  • Analysis of normal and adventitious respiratory sounds for assessment of asthma (IEEE-EMBC 2013, 535-538 and MEDICON 2013, 981-984) with the Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP) and the Hospital Germans Trias i Pujol, Badalona.

Cardiac and cardiorespiratory diseases and ageing
  • Feature selection, based on Support Vector Machine and Wavelets, applied to predict successful weaning process of mechanical ventilation patients (Computers in Biology and Medicine, 43(5), 533-540, IEEE-EMBC 2013, 3849-3852 and ICCME 2013, 483-486), with Hospital de Sant Pau, Barcelona and the University of Applied Sciences, Jena, Germany.
  • Analysis of heart rate and blood pressure variability in cardiomyopathy patients (Computing in Cardiology 2013, 117-120 and 22-25, and MEDICON 2013, 1021-1024) with the Hospital de Sant Pau, Barcelona, the Hospital Germans Trias i Pujol, the University of Applied Sciences, Jena, Germany and the University of Zaragoza. (Clinical trial: IIBSP-VEN-2012-168).
  • Characterization of breathing pattern (IEEE-EMBC 2013, 5228-5231) and heart rate variability (Computing in Cardiology 2013, 991-994) in elderly patients, with Hospital de Sant Pau.

Neurorehabilitation and Biofeedback
  • Evaluation of spatial characteristics of upper-limb movements from EMG signals for neurorehabilitation assessment (MEDICON 2013, 1795-1798) with Alicia Casals’ group.