Next Article in Journal
Visual Servoing-Based Nanorobotic System for Automated Electrical Characterization of Nanotubes inside SEM
Next Article in Special Issue
Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System
Previous Article in Journal
Defocus Blur Detection and Estimation from Imaging Sensors
Previous Article in Special Issue
A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors
Open AccessArticle

Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery

Brain-Machine Interface Systems Lab, Miguel Hernández University of Elche, Avda. de la Universidad S/N Ed. Innova, Elche, 03202 Alicante, Spain
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(4), 1136; https://doi.org/10.3390/s18041136
Received: 26 January 2018 / Revised: 15 March 2018 / Accepted: 5 April 2018 / Published: 8 April 2018
(This article belongs to the Special Issue Assistance Robotics and Biosensors)
The purpose of this work is to strengthen the cortical excitability over the primary motor cortex (M1) and the cerebro-cerebellar pathway by means of a new transcranial direct current stimulation (tDCS) configuration to detect lower limb motor imagery (MI) in real time using two different cognitive neural states: relax and pedaling MI. The anode is located over the primary motor cortex in Cz, and the cathode over the right cerebro-cerebellum. The real-time brain–computer interface (BCI) designed is based on finding, for each electrode selected, the power at the particular frequency where the most difference between the two mental tasks is observed. Electroencephalographic (EEG) electrodes are placed over the brain’s premotor area (PM), M1, supplementary motor area (SMA) and primary somatosensory cortex (S1). A single-blind study is carried out, where fourteen healthy subjects are separated into two groups: sham and active tDCS. Each subject is experimented on for five consecutive days. On all days, the results achieved by the active tDCS group were over 60% in real-time detection accuracy, with a five-day average of 62.6%. The sham group eventually reached those levels of accuracy, but it needed three days of training to do so. View Full-Text
Keywords: transcranial direct current stimulation (tDCS); brain–computer interface (BCI); real-time; pedaling motor imagery; cerebro-cerebellar pathway transcranial direct current stimulation (tDCS); brain–computer interface (BCI); real-time; pedaling motor imagery; cerebro-cerebellar pathway
Show Figures

Figure 1

MDPI and ACS Style

Rodriguez-Ugarte, M.D.S.; Iáñez, E.; Ortiz-Garcia, M.; Azorín, J.M. Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery. Sensors 2018, 18, 1136.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop