Table 1.
References | Modalities combination | Signal fusion | Benefits |
---|---|---|---|
Li et al. (2016) and Hong and Khan (2017) | EEG + EOG | Electrophysiological + Ocular Movements | 1. To enhance accuracy and number of control commands. 2. To detect the motion artifacts due to ocular movements. |
Bulea et al. (2014); Sburlea et al. (2015); Gui et al. (2017); Hong and Khan (2017), and Liu D. et al. (2017) | EEG + EMG | Electrophysiological + Electromyography | 1. To increase the accuracy of the BCI system. 2. This combination could help to make comprehensive neural BCI and minimize the delay between movement detection and execution. 3. It can help to enhance the active participation of patients in gait rehabilitation. 4. EMG is usually used with EEG to detect the actual muscle movement to ensure BCI's smooth operation. |
Fazli et al. (2012); Blokland et al. (2013); Khan et al. (2014); Hong and Khan (2017), and Cicalese et al. (2020) | EEG + fNIRS | Electrophysiological + Hemodynamics | 1. To enhance classification accuracy. 2. To increase the number of control commands. |
Tobar et al. (2018) | EEG + fMRI + EMG | Electrophysiological + Hemodynamics + Electromyography | 1. fMRI is used to locate the brain activation area, EEG is used to record to cortical activity, while EMG is used to confirm motor task execution. |
Zhang et al. (2010) and Liu et al. (2018) | EEG + EOG + EMG | Electrophysiological + Ocular Movements + Electromyography | 1. The actual movement onset was extracted from surface EMG, and the motor intention was detected from EEG. EOG is used to detect ocular movement artifacts. 2. To increase the number of control commands. |
Salazar-Varas et al. (2015); Hortal et al. (2016); Gui et al. (2017), and Elvira et al. (2019) | EEG + IMUs | Electrophysiological | 1. IMUs are used along with EEG to detect actual body movements. |