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Abstract: Brain–computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available.

The aim of this study was to test four commercially available headsets’ ability to record and classify movement intentions (movement-related cortical potentials—MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%-77%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset.

PDF Version is available here.

Reza Naeemabadi, PhD student at Laboratory for Welfare Technology, Aalborg University, has published a study aimed to identify patients’ requirements after a total knee replacement following a self-training rehabilitation program, leading to the design and development of a telerehabilitation program.

Telerehabilitation programs can be employed to establish communication between patients and healthcare professionals and empower patients performing their training remotely. Let us hope it will be used more in the future.

You can see and read the paper here.