Back to Search
Start Over
EEG with a reduced number of electrodes: Where to detect and how to improve visually, auditory and somatosensory evoked potentials
- Source :
- Biocybernetics and Biomedical Engineering. 38:700-707
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- The measurement of evoked potentials has become a standard tool to test new hardware and software for electroencephalography (EEG). In this study, we investigate where to detect and how to improve visually, auditory and somatosensory evoked potentials with a reduced number of electrodes. We measured a total of 50 evoked potentials in healthy subjects, and we were able to detect visually, auditory and somatosensory evoked potentials with just three electrodes. We also investigated where to measure a combination of visually, auditory and somatosensory evoked potentials and found the best positions to be Oz, O1, O2, TP9 and TP10. In the second part of this study, we analyzed how the evoked potentials depend on the segmentation frequency selected to superpose EEG responses. We found that the detection of visually evoked potentials requires the segmentation frequency to match the stimulus frequency with an accuracy of at least 99.92 percent. The detection of auditory evoked potentials and somatosensory evoked potentials requires a matching of at least 99.95 percent. Therefore, a correct matching of the segmentation frequency with the stimulation frequency is the primary key to improving the quality of evoked potentials.
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
Computer science
Biomedical Engineering
Healthy subjects
02 engineering and technology
Audiology
Electroencephalography
03 medical and health sciences
0302 clinical medicine
Primary Key
Somatosensory evoked potential
0202 electrical engineering, electronic engineering, information engineering
medicine
Stimulus frequency
020201 artificial intelligence & image processing
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 02085216
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Biocybernetics and Biomedical Engineering
- Accession number :
- edsair.doi...........192ec7bd9050757743effeb468080022
- Full Text :
- https://doi.org/10.1016/j.bbe.2018.06.001