The Detection of the Rise to Stand Movements Using Bereitschaftspotential from Scalp Electroencephalography (EEG)

Abstract

: The negative-going Bereitschaftspotential (BP) is associated with the preparation and execution of dynamic movement. So far, BP for simple movements involving either the upper or the lower body has been studied. However, BP has not yet been recorded during both movements. Our study reveals that the negative-going BP was evoked around 3 to 2 seconds before the onset of the rise in response to a start cue. The BP had a negative peak before the onset of the movement of the trunk. BP for the rise to standing up was started around -3 seconds. The corresponding BP while seated could not be recorded in response to the other start cue. Then we tried to discriminate the onset for rise to stand, and for keeping seated using BP data in time domain. BP for 0.5 seconds in the time window is used for the time-shifted leave-one-out cross validation method. The method shows that using 0.5 seconds to 2 seconds before the onset of the movement could detect whether the subject would stand up or keep seated with the correction rate of about 60% to 70%. These results suggest that using the negative BP can detect the subject's will to stand-up.

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

“…Previous studies have shown the effects of task complexity on ERD/ERS rhythms and the complexity of the sit-to-stand and stand-to-sit movements (Bulea et al, 2014;Singh et al, 2017;Mashat et al, 2019;Chaisaen et al, 2020). To overcome these limitations, we used information from the idle state, a neutral condition, to facilitate the classifier's recognition of distinctive characteristics of the related motor imagery task.…”

“…Many of these studies have only been tested in offline scenarios due to the complexity of the movements and experimental setups that produce unrealistic EEG signals when compared to experimental setups in online scenarios (Rodríguez-Ugarte et al, 2017). Only a small number of studies have been conducted on standing and sitting behaviors in offline scenarios (Zhou et al, 2007;Bulea et al, 2014;Singh et al, 2017;Chaisaen et al, 2020). Therefore, we examined the use of an EEG-based BCI to decode offline and online MI information for these types of movements.…”

Exploring Motor Imagery and Execution of Lower Limb Tasks: EEG Analysis during Transitions from Sitting to Standing

“…3. These electrodes were selected for signal processing because of their low electrode impedance and their relationship with the sensorimotor areas that are most significant for discrimination between different ME and MI tasks, such as imaginary/physical standing up movement (Bulea, Prasad, Kilicarslan, & Contreras-Vidal, 2014;B. Singh, Wagatsuma, & Natsume, 2017).…”