Table 1.
Type of study and aim.
Type of Study | Aim |
---|---|
Observational study | Study of the cortico-muscular coupling (1) during motor tasks [37,38,39,40,41] and (2) with electrical stimulation [42,43,44,45,46] |
Investigation of the effects of exoskeleton on functional connectivity [47,48,49] | |
Investigation of the effects of visual feedback [50,51] | |
Detection of movement intention [52,53] Study of the interhemispheric interaction with TMS [54] | |
Study of a neurophysiological marker of stress [55] | |
Study of slow cortical potentials in stroke [56] | |
Study of correlation between lower back pain and altered postural stabilization [57] | |
Pilot study | Test new rehabilitation paradigm [34,58,59,60,61,62] |
Investigation of the efficacy of BMI [63] and EEG feedback [64] | |
Study of movement classification combining EEG and EMG [65] | |
Investigation of movement intention [66,67] and motor imagery detection [68] | |
Study of the cortico-muscular coupling [69,70,71] | |
Study of the neuroplasticity with electrical stimulation [72] | |
Investigation of engagement in game rehabilitation [73] | |
Study of the effects of the use of VR in facial rehabilitation [74] | |
Randomized controlled trial | Study the effects of transcranial [75,76] and peripheral electrical stimulation [77,78,79] |
Investigation of the efficacy of lower limb exoskeleton rehabilitation [80] | |
Assessment of a novel gait training paradigm [81] | |
Investigation of the efficacy of neurologic therapy based on music [82] | |
Investigation of the effects of biofeedback [83] | |
Methodological study | Presentation of a multivariate approach for motor assessment [32,33] Presentation of a method for compressing EEG-EMG signal [84] |
Presentation of algorithms for motion detection [85,86] and motion classification [87,88] |