From: A review of combined functional neuroimaging and motion capture for motor rehabilitation
Application | Type | Frequency | Control | Study aim | References |
---|---|---|---|---|---|
Diagnostic | Basic | Cross-sectional | None | Identification of submovement signatures in EEG during a double-step target displacement task | [54] |
Investigation of the effects of cognitive and motor dual tasking on gait performance and brain activities after stroke | [56] | ||||
Investigate the participation of midfrontal theta dynamics in a behavioral monitoring system for reactive balance responses | [57] | ||||
Healthy | Identification of particular impairments by pre- and post-movement changes in EEG after stroke | [39] | |||
Translational | Cross-sectional | None | Feasibility of recording kinematic and EEG data during visuomotor coordination task | [53] | |
Feasibility of the combined detection of EEG and gait events during treadmill walking for rehabilitation | [55] | ||||
Longitudinal | Healthy | Development of a multivariate analysis method to couple clinical evaluations with multimodal instrumental evaluations | [52] | ||
Therapy | Basic | Cross-sectional | None | Evaluation of changes in cortical involvement during treadmill walking with and without BCI control of an avatar | [48] |
Healthy | Investigation of the inter-limb coordination based on brain activity and kinematic features | [42] | |||
Translational | Cross-sectional | None | Comparison of non-adaptive and adaptive approaches in MRCP detection for motor rehabilitation | [47] | |
Investigation of a transfer learning framework for personalized decoding of TES-assisted 3D reaching task | [49] | ||||
Development of a real-time EEG-signal processing and classification pipeline of movement intention for clinical motor rehabilitation | [51] | ||||
Healthy | Evaluation of an active robotic upper limb exoskeleton based on gaze tracking and BCI to assist with upper limb movements | [43] | |||
Evaluation of movement task with visuomotor feedback based on related changes in the motor cortex | [50] | ||||
– | – | Presentation of an exergame based on EEG and Kinect for lower-limb rehabilitation | [45] | ||
Clinical | Longitudinal | None | Feasibility of decoding gait kinematics during robot-assisted gait training from stroke patients using a powered exoskeleton | [44] | |
Evaluation of a BCI system to assist with upper-limb functional movement rehabilitation | [40] | ||||
Healthy | Evaluation of an assessment system for functional upper limb assessment, based on EEG and kinematic, dynamic data during planar reaching movements | [41] | |||
Non-Healthy | Evaluation of a novel multimodal upper-limb stroke rehabilitation exergame | [46] |