Paper Info
Title
Detection and removal of stimulation artifacts in electroencephalogram recordings.
Abstract
Stimulation artifacts are short-duration, high-amplitude spikes which can be observed in electroencephalogram (EEG) recordings whenever surface functional electrical stimulation (FES) is applied during recordings. Stimulation artifacts are of non-physiologic origin and hence have to be removed before analysis of the EEG can take place. In this paper, algorithms for the detection and removal of stimulation artifacts are presented. The algorithms require only little computational resources and can be applied online, while signals are recorded. Therefore, the algorithms are suitable for applications such as online control of FES based neuroprostheses by a brain-computer interface. Tests are performed with datasets recorded from two subjects for artifact durations ranging from 0.5 ms to 10 ms. After application of the artifact removal algorithms the signal-to-noise ratio of the reconstructed signals ranges from 15 dB to 45 dB, depending on the duration of artifacts and the type of algorithm.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091809
EMBC
Keywords
Field
DocType
fes based neuroprostheses,electroencephalogram recording,medical signal detection,electroencephalography,medical signal processing,artifact removal algorithms,stimulation artifact detection,signal reconstruction,reconstructed signals,signal recording,brain-computer interface,signal-to-noise ratio,interpolation,algorithm design,shape,electrodes,signal to noise ratio,brain computer interface,algorithm design and analysis
Computer vision,Functional electrical stimulation,Computer science,Signal-to-noise ratio,Electronic engineering,Ranging,Artificial intelligence,Electroencephalography,Signal reconstruction,Stimulation
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
2
0.40
1
Authors
4
Name
Order
Citations
PageRank
Ulrich Hoffmann120.40
Woosang Cho220.40
Ander Ramos-Murguialday3259.02
Thierry Keller492.66