About BigMed+

The BigMed+ Research Group is formed by researchers with multidisciplinary lines of work and common interests in R&D+i. The research lines of BigMed+ are developed in the ETSIT, Department of Signal Theory and Communications and Telematic Systems and Computing (DTSC) and focus mainly on:

• New digital processing methods for its application in emerging modalities of cardiac signals, such as inverse ECG or prolonged monitoring and its hospital integration, a line that is articulated between the URJC, the University Miguel Hernández (UMH), the Hospital Clínico Virgen de la Arrixaca de Murcia (HUVA), the active international collaboration of Washington University in St. Louis (USA) and Lund University (Sweden).  In addition, companies and entities in the sector (Medtronic, Nuubo, CNIC) are providing specific collaborations and the possible deployment of a prototype in three more hospitals in Madrid has been considered.

• Conventional statistical methods and interpretation of deep networks in health applications and organizational complexity, a line that proposes the systematization of knowledge regarding classical statistical methods and advanced learning methods and their theoretical (rather than computational) scaling with the availability of big data, as well as the interpretation of equations learned by deep networks and recent complex statistical learning models.

From the point of view of the strategic lines, it should be noticed that this research group has two characteristics that are of special interest: 

1. the multidisciplinary character of the team in which professors from different fields and faculties (ETSIT and FCJS) converge in order to offer a global and more enriching approach to the research lines proposed, as well as a greater connection between basic and applied research; 

2. The gender balance, since the team has a similar number of male and female researchers attending not only to the strategic lines established by the university, but also to the growing social demand in this regard.