From: A review of combined functional neuroimaging and motion capture for motor rehabilitation
Topic | Category | Description |
---|---|---|
Research type | Basic research | Seeking new insights into cortical and biomechanical processes |
Translational research | Applying new knowledge and methods to first practical applications | |
Clinical research | Evaluate the effectiveness of implemented interventions | |
Motion capture | Event markers | Denote specific instances in time when biomechanical changes occur |
Kinematics | Linear or angular changes within a spatial-temporal context | |
Kinetics | Forces that are generated by or acting on the body | |
Parameters | Physical measurements of motion | |
Assessment scores | Complex features, based on single or multiple physical motion measurements | |
Functional neuroimaging | Time | Temporal signal changes |
Frequency | Presence and power of frequency components | |
Time-Frequency | Temporal changes in the power of frequency components | |
Non-linear | Non-linear analysis methods | |
Multimodal fusion technique | Movement event detection | Movement events to segment and classify the neural signal |
Decoder training | Multimodal training and evaluation of neural decoders | |
Statistical relationship | Multimodal relationship based on statistical methods | |
Parallel applications | Indirectly related biomechanical and cortical features, fused for feedback |