During EEG the discharge of TMS generates a long-lasting decay artefact (DA) that makes the analysis of TMS-evoked potentials (TEPs) difficult. Our aim was twofold: (1) to describe how the DA affects the recorded EEG and (2) to develop a new adaptive detrend algorithm (ADA) able to correct the DA.
Titolo: | TMS-evoked long-lasting artefacts: A new adaptive algorithm for EEG signal correction |
Autori: | |
Data di pubblicazione: | 2017 |
Rivista: | |
Abstract: | During EEG the discharge of TMS generates a long-lasting decay artefact (DA) that makes the analysis of TMS-evoked potentials (TEPs) difficult. Our aim was twofold: (1) to describe how the DA affects the recorded EEG and (2) to develop a new adaptive detrend algorithm (ADA) able to correct the DA. |
Handle: | http://hdl.handle.net/11389/28659 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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