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. 2014 Nov 25;8:376. doi: 10.3389/fnins.2014.00376

Figure 1.

Figure 1

Flow chart describing the EMG and EEG data processing for neural decoding of sitting and standing movement. A threshold of 3 standard deviations was applied to the EMG linear envelope to identify quiet periods and periods of movement (sitting and standing). Only pre-movement epochs (1.5 s before movement to movement onset) and quiet epochs (1.5 s after movement completion to 1.5 s before next movement) were retained for analysis. As a control, a separate decoding analysis using movement epochs (movement onset to 1.5 s after onset) was also performed. Artifact subspace reconstruction (ASR) algorithm, available as a plug-in for EEGLAB software (Delorme and Makeig, 2004), was applied to eliminate artifacts from EEG data during pre-processing. Note that the optimization and evaluation data sets are mutually exclusive.