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. 2016 Mar 31;10:122. doi: 10.3389/fnins.2016.00122

Table 3.

Review of EEG-based motor intent detection studies in stroke patients.

References Studies No. stroke subjects Method Accuracy mean (SD)%
Offline Muralidharan et al., 2011b Muralidharan et al., 2011 4 SMR TPRmax = 70 FPR = 22 (9)
Antelis et al., 2012 Antelis et al., 2012 4 SMR 71 (10)
Lew et al., 2012 Lew et al., 2012 2a MRCP TPRmax = 79 (12) FPR = 10
Niazi et al., 2013 Niazi et al., 2013 5a MRCP TPR = 60 (11) FPR/min = 4 (4)
Ibáñez et al., 2014 Ibáñez et al., 2014 6a SMR + MRCP TPR = 82 (10) FPR/min = 1.5 (1)
Current study [offline] 4 MRCP TPRc = 82 (16) FPRc = 44 (18)
Online Buch et al., 2008 Buch et al., 2008 8 SMR, [MEG] 73 (18), [median]
Daly et al., 2008 Daly et al., 2008 3 SMR 82-98
Ang et al., 2011 Ang et al., 2011 11 SMR 82 (−)b
Gomez-Rodriguez et al., 2011 Rodriguez et al., 2011 2a SMR 84 [AUC]
Current study [online] 4 MRCP TPR = 65 (18) FPR = 28 (36)

SMR, Sensorimotor or μ-rhythms; MRCP, Movement related cortical potentials; AUC, performance reported as area under the ROC curve.

a

Study included both healthy and stroke participants. Here we mention only the number of stroke participants. If available, we report only the BMI accuracy that was obtained with stroke patients.

b

Study reported both online and offline accuracies. Here we only consider online accuracy.

c

Overall TPR and FPR computed offline during BMI Calibration. Note that EMG gating was not used when computing offline accuracy.