Software and Hardware for Locomotory Disabled Patients Assisted Training and Prosthetic Solutions Choosing

Designing intelligent prostheses for the taken off limbs, controlled by myoelectric signals, implies specific issues. To optimally solve such problems, we've devised a software solution set which eases identification stage for every patient's specific case, his training in order to refine the biosignals' control and optimal choice of the adequate prosthesis solutions. Case identification implies searching for the maximum number of available biosignals on the snag and choosing the appropriate such signals based on their natural emplacement, amplitude and inter-correlation. The training involves the patient's awareness in learning how to control such biosignals by means of their visual correlation to the movements of an already attached virtual prosthesis. Based on data offered by the identification and training phases, one can choose a prosthesis solution among those available, best suited to the patient's case and abilities, along with his financial availability, required by one choice or another. Considerable time and money savings can be achieved by using this set of software solutions, both because of delays and prosthesis mismatching elimination and because of the patient's involvement in picking up the appropriate solution. Key-Words: Intelligent Prosthesis, Amputee Patients Training, Prosthetic Solutions Choosing, Virtual Environment, Software Asisted Training, Prosthesis Modelling, Biosignals.