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Table 2 Review categories. An explanation of the used category to summarize various extracted features

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