Table 7 Feature fusion and synchronization. Details on the synchronization and use of the multimodal feature. ‘–’ indicates that the authors gave no information on the respective matter
From: A review of combined functional neuroimaging and motion capture for motor rehabilitation
Category | Online/offline | Method | Trigger | Feature fusion details | References |
|---|---|---|---|---|---|
Movement event detection | Offline | – | – | Movement event of left heel strike for calculation of EEG time domain features | [42] |
– | – | Movement event of toe-off for calculation of EEG frequency domain features | [55] | ||
Hardware | Pushbutton trigger | Movement onset of arm movement for calculation of EEG time-frequency features | [53] | ||
- | – | Grip force onset for calculation of EEG time domain features | [50] | ||
Online | Hardware | Photodiode/screen | Movement onset of hand for the training of a regression model based on EEG time domain features | [51] | |
Movement event detection; decoder training | Offline | Other | Digital signal | Training of naive Bayes classifier for detection of movement onset based on EEG time and time-frequency domain feautres | [40] |
– | – | Movement onset/offset of gait for training/evaluation of UKF decoding joint kinematics | [44] | ||
Movement event detection; statistical relationship | Offline | Hardware | Trigger signal | Movement events of stepping behavior and leaning direction to model their relationship to EEG time-frequency domain feautres | [57] |
Hardware | Trigger signal | Movement onset of arm for calculation EEG time and time-frequency features Correlation of kinematic assessment scores and a kinematics and EEG time and time-frequency features | [41] | ||
Decoder training | Offline | – | –- | Training/validation of a presonalized linear regression model prediciting motor perfomance index based on EEG frequency domain features | [49] |
Online | Software | Customized program | Training/validation of EEG UKF decoder that predicts joint kinematics | [48] | |
Software | UDP | Control of robotic arm based on movement and movement initiation and tuning of kinematic parameters via EEG-based SVM classifier | [43] | ||
– | – | Training/evaluation of LSDA classifier predicting ankle movement onset based on EEG time domain features | [47] | ||
Statistical relationship | Offline | Other | Manual | Training/Validation of a regression model for kinematic parameters and EEG time-frequency domain features | [39] |
– | – | Correlation between kinematics, muscle and brain activity | [52] | ||
– | – | Correlation of submovements onset/offset and EEG time domain feature | [54] | ||
– | – | Correlation between gait parameters and fNIRS time domain features | [56] | ||
Attention | Online | – | – | Game interaction based on movement and feedback on attention level via EEG | [46] |
– | – | Game interaction based on movement and feedback on attention level via EEG | [45] |