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A Multi-Channel Approach for Cortical Stimulation Artefact Suppression in Depth EEG Signals Using Time-Frequency and Spatial Filtering
- Source :
- IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2019, 66 (7), pp.1915-1926. ⟨10.1109/TBME.2018.2881051⟩
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- International audience; Objective: The stereo electroencephalogram (SEEG) recordings are the sate of the art tool used in pre-surgical evaluation of drug-unresponsive epileptic patients. Coupled with SEEG, electrical cortical stimulation (CS) offer a complementary tool to investigate the lesioned/healthy brain regions and to identify the epileptic zones with precision. However, the propagation of this stimulation inside the brain masks the cerebral activity recorded by nearby multi-contact SEEG electrodes. The objective of this paper is to propose a novel filtering approach for suppressing the CS artifact in SEEG signals using time, frequency as well as spatial information.Methods: The method combines spatial filtering with tunable-Q wavelet transform (TQWT). SEEG signals are spatially filtered to isolate the CS artifacts within a few number of sources/components. The artifacted components are then decomposed into oscillatory background and sharp varying transient signals using tunable-Q wavelet transform (TQWT). The CS artifact is assumed to lie in the transient part of the signal. Using prior known time-frequency information of the CS artifacts, we selectively mask the wavelet coefficients of the transient signal and extract out any remaining significant electro-physiological activity.Results: We have applied our proposed method of CS artifact suppression on simulated and real SEEG signals with convincing performance. The experimental A. Bhattacharyya 2 results indicate the effectiveness of the proposed approach.Conclusion: The proposed method suppresses CS artifacts without affecting the background SEEG signal. Significance: The proposed method can be applied for suppressing both low and high frequency CS artifacts and outperforms current methods from the literature. Index Terms cortical stimulation, SEEG, tunable-Q wavelet transform, subspace correlation approach, blind source separation.
- Subjects :
- genetic structures
Computer science
SEEG
0206 medical engineering
Biomedical Engineering
02 engineering and technology
Electroencephalography
Signal
Blind signal separation
cortical stimulation
Stereoelectroencephalography
Wavelet
blind source separation
subspace correlation approach
medicine
tunable-Q wavelet transform
Artifact (error)
medicine.diagnostic_test
Spatial filter
business.industry
Wavelet transform
Pattern recognition
020601 biomedical engineering
Time–frequency analysis
Cerebral activity
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Artificial intelligence
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....12da22ba8d1943f9e1fee35cc789f062
- Full Text :
- https://doi.org/10.1109/tbme.2018.2881051