An ERD/ERS analysis of the relation between human arm and robot manipulator movements

Lana, Ernesto Pablo; Adorno, Bruno Vilhena; Tierra-Criollo, Carlos Júlio

doi:10.1109/brc.2013.6487461

Cited by 1 publication

(1 citation statement)

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“…One of the aims of this type of study is, for example, to decode voluntary movement before the action towards implementing practical brain-machine interface (BMI) technology for intuitive neuroprosthesis (Lew et al 2012). Other example is the study made by Lana, Adorno and Tierra-criollo (2013), where it was analyzed the relation between the movement of an anthropomorphic robotic manipulator and the brain cortex response. More recently, Qiu and his team studied the comparison between ERD patterns during active movement, passive movement and functional electrical stimulation (FES)-induced movement of the lower limb, concluding that the quantification of ERD patterns could be expected as a potential technique to evaluate brain response during FES-induced movement (Qiu et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Quantification of EEG Brain Activity in the Self-Paced Regime

Silva¹,

Silva

Coelho

2018

UPjeng

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The processing of motor, sensory and cognitive information by the brain can result in changes of the electroencephalogram (EEG) by Event Related Desynchronization (ERD) or Event Related Synchronization (ERS). The first one concerns a decrease in the amplitude of a rhythmic activity while the second corresponds to its increase. The analysis of these two phenomena in specific frequency bands - alpha (8-13 Hz) and beta (14-30 Hz) - allows the understanding of the cerebral activity. This study focuses on the quantification of cerebral activity by determining the ERD and ERS on the referred band, induced by self-paced movements, by using EEGLAB and MATLAB tools. This was achieved by the creation of a new and automatic quantification algorithm. The results indicate that a greater desynchronization of the signal is accompanied by a decrease in the amplitude of the same. As a conclusion, the cerebral activity varies in terms of synchronization and desynchronization among certain frequency bands in several zones, according to the tasks performed.

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Section: Introductionmentioning

confidence: 99%