Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Daly, I; Pichiorri, F; Faller, J; Kaiser, V; Kreilinger, A; Scherer, R; Müller-Putz, G.
What does clean EEG look like?
Conf Proc IEEE Eng Med Biol Soc. 2012; 2012(2):3963-3966
Doi: 10.1109/EMBC.2012.6346834
PubMed
FullText
FullText_MUG
- Co-authors Med Uni Graz
- Kreilinger Alex
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- Lack of a clear analytical metric for identifying artifact free, clean electroencephalographic (EEG) signals inhibits robust comparison of different artifact removal methods and lowers confidence in the results of EEG analysis. An algorithm is presented for identifying clean EEG epochs by thresholding statistical properties of the EEG. Thresholds are trained on EEG datasets from both healthy subjects and stroke / spinal cord injury patient populations via differential evolution (DE).
- Find related publications in this database (using NLM MeSH Indexing)
- Artifacts -
- Electroencephalography -
- Female -
- Humans -
- Male -
- Middle Aged -
- Signal Processing, Computer-Assisted -
- Young Adult -