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A non-invasive brain-machine interface via independent control of individual motor units
[article]
2021
bioRxiv
pre-print
Brain-machine interfaces (BMIs) have the potential to restore independence in people with disabilities, yet a compromise between non-invasiveness and performance limits their translational relevance. Here, we demonstrate a high-performance BMI controlled by individual motor units non-invasively recorded from the biceps brachii. Through real-time auditory and visual neurofeedback of motor unit activity, 8 participants learned to skillfully and independently control three motor units in order to
doi:10.1101/2021.03.22.436518
fatcat:te6a45x52rdhngfdlq27yhlzre