1,721,395 research outputs found
EEG Signal Processing for Post-Stroke Motor Rehabilitation
The purpose of post-stroke rehabilitation consists in finding appropriate training to make patients become autonomous in their daily life activities by improving the ability to express properly their minds, recognize the ambient where they are and improve the mobility of their impaired limbs. In case of successful rehabilitation people could return to their normal activities while, if only partial recovery had occurred, they could be able to perform independently some basic activities at least. Even a partial success is a great improvement for patients, their families and even societies. In fact, if a smaller amount of people has to be assisted with intense and expensive 24-hours care, societies can fund money to other projects. We limit our analysis to motor rehabilitation procedures to improve patient performance in activities like reaching or grasping
EEG Signal Processing for Post-Stroke Motor Rehabilitation
The purpose of post-stroke rehabilitation consists in finding appropriate training to make patients become autonomous in their daily life activities by improving the ability to express properly their minds, recognize the ambient where they are and improve the mobility of their impaired limbs. In case of successful rehabilitation people could return to their normal activities while, if only partial recovery had occurred, they could be able to perform independently some basic activities at least. Even a partial success is a great improvement for patients, their families and even societies. In fact, if a smaller amount of people has to be assisted with intense and expensive 24-hours care, societies can fund money to other projects. We limit our analysis to motor rehabilitation procedures to improve patient performance in activities like reaching or grasping
Experimental Activities to Support Future Space-based High Throughput Communication Infrastructures
Human Bond Communications in Health: Ethical and Legal Issues
This chapter focuses on the use of human bond communication (HBC) for health
applications, in particular on the ethical and legal issues that arise. For many years, the use
of ICT in medicine was limited to allowing communications between remote patients and
doctors (telemedicine). In the last years, there has been a rapid evolution in the use of ICT in
health. The IoT framework allows a pervasive monitoring of anything around and eventually
inside us and this could really open the way to novel diagnostic and therapeutic methods
Advanced Reconfigurable 5G Architectures for Human Bond Communication
The provision of enhanced augmented reality services to mobile users based on the Human Bond Communication (HBC) paradigm will rely on the definition of a high performance and highly reconfigurable network architecture for the exchange of sensory information. A network capable of securely and efficiently transmitting data, incorporating all the five sensory features, will enable human beings to communicate sensations and will lead to the definition of a large variety of services. The objective of this chapter is to propose a novel HBC communication network architecture that is able to support the provision of such services. Starting from the definition of the main network, security and quality of service requirements for HBC, a 5G network architecture based on Software Defined Networking, Network Function Virtualization and Fog/Edge Computing paradigms is presented. The main enabling technologies, including WBAN, localization techniques and content‐oriented networking are described together with some possible solutions to be adopted to cope with the security threats that may affect the fruition of HBC services
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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