Prof. Dr.
Jané, Raimon
Group Leader
Torre I - Planta 9 | Baldiri Reixach, 4 | 08028 | Barcelona
Email : rjane

ibecbarcelona.eu
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 research of the group is on the field of sleep disorders related to breathing, respiratory, cardiac and neurological pathologies.
We explore new methods and techniques for multi-channel and multimodal acquisition, processing, modelling and interpretation of clinically relevant information from biomedical signals. Our main objective is to improve the diagnosis capability through the characterization of physiological phenomena, and to the enhance early detection of major diseases. The group’s research addresses the design and development of advanced signal processing techniques and the interpretation of biomedical signals to improve monitoring, diagnosis, disease prevention and pathology treatment.
Studies have shown that there is a close relationship between sleep, respiratory and cardiac signals in different pathologies. In some cases, obstructive respiration during the night, such as obstructive sleep apnoea syndrome (OSAS), gives rise to sleep disorders and the subsequent cardiovascular effects. In other cases, cardiac pathologies result in significant changes to respiratory patterns. This biological interaction suggests that a multimodal-multichannel approach will improve the identification and study of major cardiac and respiratory diseases that are highly prevalent in the world population. Simultaneous analysis and processing of bioelectrical, mechanical, sound and blood signals will enhance our understanding of physiology and our diagnostic capabilities.
Analysis and interpretation of timefrequency respiratory sounds for monitoring and diagnosing asthma and obstructive lung diseases. 
Advanced algorithms for early diagnosis of the obstructive sleep apnoea syndrome, through the analysis and interpretation of snoring episodes.