![]() To conduct innovative and unique BMI studies, researchers very often need to implement new signal processing techniques, neural decoding algorithms, or experimental paradigms in a BMI software package. Regardless of the input modality, all BMI systems require an essential suite of software capable of acquiring neural signals continuously and converting them in real time or near real time into specific BMI control commands for an external device, such as a prosthetic hand, in order to accomplish a specific task. Various neural signal modalities, including electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), intracortical local field potentials (LFPs), and neuronal firing rates, have been used for BMI research. It offers a rich and natural assistive device control interface for individuals with disabilities and is a rapidly-progressing, extremely active research area in the field of neuroscience and neural engineering. The Craniux software framework is made available to the scientific research community to provide a LabVIEW-based BMI software platform for future BMI research and development.īrain-machine interface (BMI) technology aims to establish a direct link for transmitting information between the brain and external devices. Our results indicate that Craniux is able to operate consistently in real time, enabling a seamless work flow to achieve brain control of cursor movement. This paper introduces the basic features and system architecture of Craniux and describes the validation of the system under real-time BMI operation using simulated and real electrocorticographic (ECoG) signals. Specifically, it allows researchers to take advantage of multiple features inherent to the LabVIEW environment for on-the-fly data visualization, parallel processing, multithreading, and data saving. Developed in LabVIEW, a high-level graphical programming environment, Craniux offers both out-of-the-box functionality and a modular BMI software framework that is easily extendable. ![]() This paper presents “Craniux,” an open-access, open-source software framework for brain-machine interface (BMI) research.
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