A Virtual Environment-Based Training System for a Blind Wheelchair User Through Use of Three-Dimensional Audio Supported by Electroencephalography.

People with disabilities encounter many difficulties, especially when a diagnosis of more than one dysfunction is made, as is the case for visually impaired wheelchair users. In fact, this scenario generates a degree of incapacity in terms of the performance of basic activities on the part of the wheelchair user. The treatment of disabled patients is performed in an individualized manner according to their particular clinical aspects. People with visual and motor disabilities are restricted in independent navigation. In this navigation scenario, there is a requirement for interaction that justifies the use of virtual reality (VR). In addition, locomotion needs to be under natural control to be successfully incorporated. Based on such a condition, electroencephalography (EEG) has shown great advances in the area of health by employing spontaneous brain signals. This research demonstrates, through an experiment, the use of a wheelchair adapted to have the support of VR and EEG for training of locomotion and individualized interaction of wheelchair users with visual impairment. The objective was to provide efficient interactions, thus allowing the social inclusion of patients who are considered otherwise incapacitated. This project was based on the following criteria: natural control, feedback, stimuli, and safety. A multilayer computer rehabilitation system was developed that incorporated natural interaction supported by EEG, which activated the movements in the virtual environment and real wheelchair through adequately performed experiments. This research consisted of elaborating a suitable approach for blind wheelchair user patients. The results demonstrated that the use of VR with EEG signals has the potential for improving the quality of life and independence of blind wheelchair users.

Extended Reality "X-Reality" for Prosthesis Training of Upper-Limb Amputees: A Review on Current and Future Clinical Potential.

The rejection rates of upper-limb prosthetic devices in adults are high, currently averaging 26% and 23% for body-powered and electric devices, respectively. While many factors influence acceptance, prosthesis training methods relying on novel virtual reality systems have been cited as a critical factor capable of increasing the likelihood of long-term, full-time use. Despite that, these implementations have not yet garnered widespread traction in the clinical setting, and their use remains immaterial. This review aims to explore the reasons behind this situation by identifying trends in existing research that seek to advance Extended Reality "X-Reality" systems for the sake of upper-limb prosthesis rehabilitation and, secondly, analyzing barriers and presenting potential pathways to deployment for successful adoption in the future. The search yielded 42 research papers that were divided into two categories. The first category included articles that focused on the technical aspect of virtual prosthesis training. Articles in the second category utilize user evaluation procedures to ensure applicability in a clinical environment. The review showed that 75% of articles that conducted whole system testing experimented with non-immersive virtual systems. Furthermore, there is a shortage of experiments performed with amputee subjects. From the large-scale studies analyzed, 71% of those recruited solely non-disabled participants. This paper shows that X-Reality technologies for prosthesis rehabilitation of upper-limb amputees carry significant benefits. Nevertheless, much still must be done so that the technology reaches widespread clinical use.

Classification of EMG signals using artificial neural networks for virtual hand prosthesis control.

Computer-based training systems have been widely studied in the field of human rehabilitation. In health applications, Virtual Reality presents itself as an appropriate tool to simulate training environments without exposing the patients to risks. In particular, virtual prosthetic devices have been used to reduce the great mental effort needed by patients fitted with myoelectric prosthesis, during the training stage. In this paper, the application of Virtual Reality in a hand prosthesis training system is presented. To achieve this, the possibility of exploring Neural Networks in a real-time classification system is discussed. The classification technique used in this work resulted in a 95% success rate when discriminating 4 different hand movements.

On the use of Augmented Reality techniques in learning and interpretation of cardiologic data.

Augmented Reality is a technology which provides people with more intuitive ways of interaction and visualization, close to those in real world. The amount of applications using Augmented Reality is growing every day, and results can be already seen in several fields such as Education, Training, Entertainment and Medicine. The system proposed in this article intends to provide a friendly and intuitive interface based on Augmented Reality for heart beating evaluation and visualization. Cardiologic data is loaded from several distinct sources: simple standards of heart beating frequencies (for example situations like running or sleeping), files of heart beating signals, scanned electrocardiographs and real time data acquisition of patient's heart beating. All this data is processed to produce visualization within Augmented Reality environments. The results obtained in this research have shown that the developed system is able to simplify the understanding of concepts about heart beating and its functioning. Furthermore, the system can help health professionals in the task of retrieving, processing and converting data from all the sources handled by the system, with the support of an edition and visualization mode.

On the use of virtual and augmented reality for upper limb prostheses training and simulation.

Accidents happen and unfortunately people may loose part of their body members. Studies have shown that in this case, most individuals suffer physically and psychologically. For this reason, actions to restore the patient's freedom and mobility are imperative. Traditional solutions require ways to adapt the individual to prosthetic devices. This idea is also applied to patients who have congenital limitations. However, one of the major difficulties faced by those who are fitted with these devices is the great mental effort needed during first stages of training. As a result, a meaningful number of patients give up the use of theses devices very soon. Thus, this article reports on a solution designed by the authors to help patients during the learning phases, without actually having to wear the prosthesis. This solution considers Virtual (VR) and Augmented Reality (AR) techniques to mimic the prosthesis natural counterparts. Thus, it is expected that problems such as weight, heat and pain should not contribute to an already hard task.