Difference between revisions of "BCI based on Motor Imagery"

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== '''How to set up BCI instruments''' ==
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{{Project
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<br/><br/>
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|title=BCI based on Motor Imagery
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You’ll nedd:
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|short_descr=This project is aimed is to control an external device through the analysis of brain waves measured on the human scalp.
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|coordinator=MatteoMatteucci
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|tutor=MatteoMatteucci;RossellaBlatt;BernardoDalSeno
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|students=FabioZennaro
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|resarea=BioSignal Analysis
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|status=Closed
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}}
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== '''Website(s)''' ==
  
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- Electroencephalograph (with PCMCIA connector)
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[http://airlab.ws.dei.polimi.it/index.php?option=com_content&view=article&id=7:biosignal-analysis&catid=3:research-areas&Itemid=5 BioSignal Analysis on Airlab website]
  
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- Laptop (ensures that the AC adapter is NOT connected, for safety reasons)
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[http://airwiki.elet.polimi.it/mediawiki/index.php/Brain-Computer_Interface BCI Projects on AirWiki]
  
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-  Electrodes or an Electrodes Cap (designed for the 10-20 system)
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== '''Project description''' ==
  
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-  Conductive gel and/or abrasive electrode-gel
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A Brain Computer Interface (BCI), also called Brain Machine Interface (BMI), is an advanced communication pathway that can allow an individual to control an external device, such as a wheelchair or a cursor on a computer, using signals measured from the brain (e.g., electroencephalography EEG). Research in this direction results of particular interest when addressed to totally paralyzed people. Using the mu and beta rhythms people has learnt to control their brain activity and thus to control external devices, such as a wheelchair, a cursor on a screen etc. We want to develop a system able to allow users to control the movement of an external device, controlling his/her mu or beta rhythms.
  
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-  Tape measure to put in the correct position the electrodes
 
  
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-  Adhesive tape (if using single electrodes to fix them)
 
  
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-  Syringe (if using electrodes cap, to insert the conductive gel into the electrodes hole)
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== '''References''' ==
  
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- Fototransistor (if necessary)
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* Control of two-dimensional movement signals by a noninvasive brain-computer interface in humans, Wolpaw J.R., McFarland J., PNAS, vol. 101, no. 51, december 2004, pages 17849-17854.
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* Brain Computer interfaces for communication and control, Wolpaw J.R., Birbaumer N., McFarland D., Pfurtsheller G., Vaughan T., Clinical Neurophysiology 113, 2002, 767-791
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* EEG based communication: prospects and problems, Vaughan T., Wolpaw J.R., Donchin E., IEEE transactions on rehabilitation engineering, vol. 4, no. 4, december 1996, pages 425-430.
  
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== '''Links''' ==
  
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Before starting, be sure that the Electroencephalograph AC adapter is far away from the patient because 50Hz can interfere and destroy EEG signal. Mobile phones can be another source of noise: it is better to switch them off before while performing the acquisition.
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* [[Electroencephalographs]]
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* [[How to mount electrodes]]
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* [[How to setup BCI software]]
  
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== '''External Links''' ==
  
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* [http://www.bci2000.org/BCI2000/Home.html BCI2000 Website]
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In order to acquire the brain signal, it is possible to use an electrodes cap, or a set of separated single electrodes.
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* [http://www.bci2000.org/wiki/index.php/Main_Page BCI2000 Wiki]
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'''''Electrodes Cap'''''
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Choose the suitable size for the patient, and then put the cap on his head in the correct position:
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-  measure his head size (from the nasion NS to the inion) this is the 100% of the measure
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-  now you can put the CZ electrode at 50% of the entire measure, and check the positions of the other electrodes (i.e. FP1 and FP2 should be at 10% of the measure from nasion) .
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-  fill in the electrodes with conductive gel (use the syringe), take care that hair don’t disturb the skin-electrode contact.
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- remember to fill with condutictive gel also to electrodes cabled in red (NE=Neutral Electrode) and green (ISOGND=Isolated Ground) that are used respectively as reference (RF) and ground values in the measurements.
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-  connect the cable to the Electroencephalograph.
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'''''Separeted electrodes'''''
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If you haven’t got an electrodes cap you can position them one by one following this figure, with the relatives measures of each electrode:
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                      [[Image:10-20System.jpg]]
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Connect the reference electrode to the forehead and the GND electrode to the right earlobe.
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Before connecting one electrode, put a little bit of abrasive gel on a cotton fioc and scratch the portion of patient’s skin where you’ll put the electrode.
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Fill in the electrode with a little bit of conductive gel, and put it on the skin, in the correct position.
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Fix the cable with adhesive tape, and connect it to the Electroencephalograph.
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If you want to eliminate EOG artefacts from your data acquisitions, you would record EOG signal putting 2 more electrodes, near the patient eye.
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One electrode just over the eyebrow and one under the eye (REF) , like in the figure:
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                            FIGURA  elettrodi occhi
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Connect the EOG cables to the A-Channel of the Electroencephalograph.
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Now you can start Galileo Software and check if the correct values of impedance are measured.
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Click on the button “OHMMETER” in the upper toolbar, and the system will display the calculated value for each electrode, both in “graphical” form and in “numerical” one.
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Values under 10 KOhm are acceptable, values under 5 KOhm are very good.
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If your values aren’t under 10KOhm try to decrease them, filling the electrodes with more conductive gel until you reach acceptable values.
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Latest revision as of 17:44, 3 December 2010

BCI based on Motor Imagery
Short Description: This project is aimed is to control an external device through the analysis of brain waves measured on the human scalp.
Coordinator: MatteoMatteucci (matteo.matteucci@polimi.it)
Tutor: MatteoMatteucci (matteo.matteucci@polimi.it), RossellaBlatt (blatt@elet.polimi.it), BernardoDalSeno (bernardo.dalseno@polimi.it)
Collaborator:
Students: FabioZennaro (fabio.zennaro@mail.polimi.it)
Research Area: BioSignal Analysis
Research Topic:
Status: Closed

Website(s)

BioSignal Analysis on Airlab website

BCI Projects on AirWiki

Project description

A Brain Computer Interface (BCI), also called Brain Machine Interface (BMI), is an advanced communication pathway that can allow an individual to control an external device, such as a wheelchair or a cursor on a computer, using signals measured from the brain (e.g., electroencephalography EEG). Research in this direction results of particular interest when addressed to totally paralyzed people. Using the mu and beta rhythms people has learnt to control their brain activity and thus to control external devices, such as a wheelchair, a cursor on a screen etc. We want to develop a system able to allow users to control the movement of an external device, controlling his/her mu or beta rhythms.


References

  • Control of two-dimensional movement signals by a noninvasive brain-computer interface in humans, Wolpaw J.R., McFarland J., PNAS, vol. 101, no. 51, december 2004, pages 17849-17854.
  • Brain Computer interfaces for communication and control, Wolpaw J.R., Birbaumer N., McFarland D., Pfurtsheller G., Vaughan T., Clinical Neurophysiology 113, 2002, 767-791
  • EEG based communication: prospects and problems, Vaughan T., Wolpaw J.R., Donchin E., IEEE transactions on rehabilitation engineering, vol. 4, no. 4, december 1996, pages 425-430.

Links

External Links

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