Identification of ocular artifact in EEG signals using VMD and Hurst exponent
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Amandeep Bisht
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Pardeep Kaur
Abstract
Objectives
Electroencephalographic (EEG) readings are usually infected with unavoidable artifacts, especially physiological ones. One such physiological artifact is the ocular artifacts (OAs) that are generally related to eyes and are characterized by high magnitude and a specific spike pattern in the prefrontal region of the brain. During the long-duration EEG acquisition, the retrieval of important information becomes quite complicated in prefrontal regions as ocular artifacts dominate the EEG recorded, making it difficult to discern underlying brain activity.
Methods
With the progress and development in signal processing techniques, artifact handling has become a progressive field of investigation. This paper presents a framework for the detection and correction of ocular artifacts. This study emphasizes improving the quality and reducing the time complexity by using higher-order statistics (HOS) for artifact identification and variational mode decomposition (VMD) for OA correction.
Results
An overall SNR of 14 dB, MAE of 0.09, and PSNR of 33.59 dB has been attained by the proposed framework.
Conclusions
It was observed that the proposed HOS-VMD surpassed the state-of-the-art mode decomposition techniques.
Acknowledgments
This research work is supported by Council of Scientific Research and Industrial Research (CSIR), New Delhi India under the Senior Research Fellowship grant.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: Authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
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Artikel in diesem Heft
- Frontmatter
- Editorial
- IcoSema’s leap forward: new data from COMBINE 3 paves the way
- Reviews
- Bimagrumab: an investigational human monoclonal antibody against activin type II receptors for treating obesity
- The challenge of thigh tendon reinjuries: an expert opinion
- Original Articles
- Effect of omega-3 fatty acids supplementation on muscle mass, fat mass, and visceral fat of hemodialysis patients; A randomized clinical trial
- Identification of ocular artifact in EEG signals using VMD and Hurst exponent
- Choroidal and retinal alteration after long-term use of tadalafil: a prospective non-randomized clinical trial
- Short Communication
- Immediate effect of sunlight exposure through blue glass on blood pressure in hypertensive patients: a randomized controlled trial
- Letter to the Editor
- The alarming link between the COVID-19 pandemic and stroke: why ignoring this association after relapse of the disease has dangerous consequences
- Corrigendum
- Corrigendum to: 6-OHDA mediated neurotoxicity in SH-SY5Y cellular model of Parkinson disease suppressed by pretreatment with hesperidin through activating L-type calcium channels
