Table 2.

Classification performance averaged across subjects at different levels of signal-to-noise ratio (in dB) of the EMG signal using only the EMG signals or by the use of EEG and EMG signals together.

	EMG	10dB EMG	3dB EMG	1.5dB EMG	1dB EMG	0.5dB EMG	0.1dB EMG
Recall
EMG	0.83 ± 0.15	0.79 ± 0.16	0.71 ± 0.22	0.76 ± 0.13	0.74 ± 0.15	0.74 ± 0.20	0.75 ± 0.17
EEG + EMG	0.89 ±0.06	0.86 ±0.08	0.82 ±0.13	0.85 ±0.07	0.84 ±0.08	0.84 ±0.09	0.83 ±0.8
Precision
EMG	0.81 ± 0.13	0.79 ± 0.14	0.70 ± 0.20	0.76 ± 0.12	0.74 ± 0.12	0.72 ± 0.17	0.76 ± 0.17
EEG + EMG	0.88 ±0.06	0.85 ±0.08	0.80 ±0.11	0.83 ±0.07	0.83 ±0.06	0.82 ±0.07	0.82 ±0.09
F1-Score
EMG	0.79 ± 0.15	0.75 ± 0.14	0.66 ± 0.21	0.71 ± 0.14	0.71 ± 0.15	0.69 ± 0.19	0.73 ± 0.18
EEG + EMG	0.89 ±0.06	0.86 ±0.07	0.80 ±0.12	0.84 ±0.06	0.82 ±0.07	0.83 ±0.08	0.82 ±0.08

Performance are evaluated in terms of recall, precision, and F1-score. Bold values highlight the best classification approach for each condition.