Abstract
Transcranial Current Stimulation (tCS) is a recent development for non-invasive brain stimulation. At present tCS introduces large artifacts into simultaneous EEG (electroencephalogram) recordings, which must be removed to enable brain changes from during the stimulation to be monitored. This paper presents a new approach for removing artifacts of transcranial Alternating Current Stimulation (tACS) from simultaneous EEG. Termed the Superposition of Moving Averages (SMA) our approach is independent of the number of EEG channels used and has a low computational complexity for use in real-time online artifact removal and data responsive stimulation. Compared to a Principal Component Analysis (PCA) approach our results show that SMA achieves superior artifact removal performance, especially with regards to the use of low channel count EEG devices.
| Original language | English |
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| Title of host publication | host publication |
| Publisher | IEEE |
| Publication status | Published - Aug 2015 |
| Event | Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE - Milan Duration: 1 Jan 1824 → … |
Conference
| Conference | Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE |
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| City | Milan |
| Period | 1/01/24 → … |