Abstract
Health services can be improved by means of intelligent techniques that handle efficiently massive volumes of data collected from biomedical variables. Nowadays, these services are not only oriented to disease diagnosis and prevention, but wellness too. Advanced technologies and last trends in computing, internet of things, sensors, and data science are driving the development of new systems and applications in the area of intelligent health services based on biomedical smart sensors that deserve to be known. Through five research articles and a review, this Special Issue provides the opportunity to obtain a representative view of the potential of these technologies when applied to such a human welfare-oriented area.
Highlights
Advances in computer technologies are driving significant changes in medical care by shifting the hospital-centered paradigm to a patient-centered one
This research focuses on preventing possible pathologies with regard to foot postures, by measuring of foot plantar pressures in both dynamic and static conditions
The authors have developed a plantar pressure measurement system to identify areas with higher or lower pressure load, which is composed of an embedded system placed in the insole and a user graphical application
Summary
Advances in computer technologies are driving significant changes in medical care by shifting the hospital-centered paradigm to a patient-centered one. Big data and machine learning provide significant potential for this purpose, leading to new applications, more effective operations, and more human approaches. This Special Issue provides six manuscripts with original advances in health applications and services propelled by artificial intelligence, big data, and machine learning, supported by the design of biosensor systems for the construction of trustable medical databases.
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