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báo cáo hóa học: " Human-machine interfaces based on EMG and EEG applied to robotic systems"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Human-machine interfaces based on EMG and EEG applied to robotic systems | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Human-machine interfaces based on EMG and EEG applied to robotic systems Andre Ferreira1 Wanderley C Celeste1 Fernando A Cheein2 Teodiano F Bastos-Filho 1 Mario Sarcinelli-Filho1 and Ricardo Carelli2 Open Access Address Department of Electrical Engineering Federal University of Espirito Santo Av. Fernando Ferrari 514 29075-910 Vitoria-ES Brazil and institute of Automatics National University of San Juan Av. San Martin 1109-Oeste 5400 San Juan Argentina Email Andre Ferreira - andrefer@ele.ufes.br Wanderley C Celeste - wanderley@ele.ufes.br Fernando A Cheein - fauat@inaut.unsj.edu.ar Teodiano F Bastos-Filho - tfbastos@ele.ufes.br Mario Sarcinelli-Filho - mario.sarcinelli@ele.ufes.br Ricardo Carelli - rcarelli@inaut.unsj.edu.ar Corresponding author Published 26 March 2008 Received I February 2007 Journal of NeuroEngineering and Rehabilitation 2008 5 10 doi 10.1186 1743-0003-5-10 Accepted 26 March 2008 This article is available from http www.jneuroengrehab.cOm content 5 1 10 2008 Ferreira et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Two different Human-Machine Interfaces HMIs were developed both based on electro-biological signals. One is based on the EMG signal and the other is based on the EEG signal. Two major features of such interfaces are their relatively simple data acquisition and processing systems which need just a few hardware and software resources so that they are computationally and financially speaking low cost solutions. Both interfaces were applied to robotic systems and their performances are analyzed here. The EMG-based HMI .