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:Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Single-trial classification of NIRS signals during emotional induction tasks towards a corporeal machine interface Kelly Tai1 2 and Tom Chau 1 2 Address institute of Biomaterials and Biomedical Engineering University of Toronto Toronto ON Canada and 2Bloorview Kids Rehab Toronto ON Canada Email Kelly Tai - Tom Chau - Corresponding author Open Access Published 9 November 2009 Received 6 October 2008 Journal ofNeuroEngineering and Rehabilitation 2009 6 39 doi 1743-0003-6-39 Accepted 9 Novembe 2009 This article is available from http content 6 1 39 2009 Tai and Chau licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Corporeal machine interfaces CMIs are one of a few available options for restoring communication and environmental control to those with severe motor impairments. Cognitive processes detectable solely with functional imaging technologies such as near-infrared spectroscopy NIRS can potentially provide interfaces requiring less user training than conventional electroencephalography-based CMIs. We hypothesized that visually-cued emotional induction tasks can elicit forehead hemodynamic activity that can be harnessed for a CMI. Methods Data were collected from ten able-bodied participants as they performed trials of positively and negatively-emotional induction tasks. A genetic algorithm was employed to select the optimal signal features classifier task valence positive or negative emotional value of the stimulus recording site and signal analysis interval length .
