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. Author manuscript; available in PMC: 2020 Oct 21.
Published in final edited form as: IEEE Trans Neural Syst Rehabil Eng. 2019 Apr 23;27(7):1467–1472. doi: 10.1109/TNSRE.2019.2912298

Fig. 3. Decoding flexion force from hEEG.

Fig. 3.

(A) Overlaid traces of predicted (color) vs actual (gray) finger flexion force in three datasets from three subjects. VAF for each run labeled above each trace. (B) Distribution of decoding performance (VAF) across all datasets from all subjects (arrows indicate where decoding examples from A fall within distribution).