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rtMEG: A Real-Time Software Interface for Magnetoencephalography
2011
Computational Intelligence and Neuroscience
To date, the majority of studies using magnetoencephalography (MEG) rely on off-line analysis of the spatiotemporal properties of brain activity. Real-time MEG feedback could potentially benefit multiple areas of basic and clinical research: brain-machine interfaces, neurofeedback rehabilitation of stroke and spinal cord injury, and new adaptive paradigm designs, among others. We have developed a software interface to stream MEG signals in real time from the 306-channel Elekta Neuromag MEG
doi:10.1155/2011/327953
pmid:21687573
pmcid:PMC3113367
fatcat:mjrlqy6c6vc7tfz6w4anhbhjti