The scientific knowledge we develop in the Instituto de Biomecánica (IBV) is the basis of our competitive edge and differentiation. It is organized into five big areas of knowledge application, where we analyse the behaviour of the human body and its relationship with the devices, environments and services that people use:
In each one of these areas, we work using a selection of scientific, technological and methodological knowledge that we apply to specific sectors of the population. This allows us to extract and generate essential criteria to design, evaluate and assign technologies, services and environments to improve people’s health, well-being and quality of life.
In the area of 3D anthropometry, we generate morphometric and anthropometric criteria to analyse the human metrics and shapes that are essential to design, evaluate and assign the devices and services that people use.
These criteria are generated based on a selection of previously applied knowledge about specific sectors of the population segmented by age, sex, origin or habits.
In the area of digital health, we generate knowledge about the performance and structure of the human body, as well as the influence of different exogenous and endogenous factors on people’s health.
Based on this knowledge, we work on the recording and analysis of data related to health, including everything from physiological signals and medical imaging, to data provided by the patient himself (such as PROM’s and PREM’s) and relevant information from the environment. All of this aimed at improving healthcare processes in the context of cutting edge and value-based medicine.
In the area of biomedical engineering , we apply techniques and methodologies for recording and biomechanical analysis of human activities and movements to the functional evaluation and design of medical devices and products for human use.
In the area of user experience, we generate essential criteria to design, evaluate and assign products and services that lead to a satisfactory user experience, based on detailed knowledge about potential users’ perception, behaviour and aspirations.
These criteria are generated by applying social and participative research methods that foster active participation from people in all phases of innovation by means of collaborative, streamlined and iterative work procedures.
In the human factors area, we attain knowledge about people’s characteristics and capabilities in order to assess how they interact with devices and services. We can thus establish recommendations to design interfaces, devices and environments suited to them.