It is available with full documentation and free of charge for research or educational purposes and is currently being used in a variety of studies by many research groups.read more read lessĪbstract: A spatial filtering method for localizing sources of brain electrical activity from surface recordings is described and analyzed. By substantially reducing labor and cost, BCI2000 facilitates the implementation of different BCI systems and other psychophysiological experiments. The data show that these systems function well in online operation and that BCI2000 satisfies the stringent real-time requirements of BCI systems. To date, we have used BCI2000 to create BCI systems for a variety of brain signals, processing methods, and applications. This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BCI2000 system is based upon and gives examples of successful BCI implementations using this system. BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols. In response to this problem, we have developed a documented general-purpose BCI research and development platform called BCI2000. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.read more read lessĪbstract: Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. Abstract: Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system.
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