Electrodiagnostic artifacts due to neurostimulation devices for drug resistant epilepsy

Arafat, Thaera; Miron, Gadi; Strauss, Ido; Fahoum, Firas

doi:10.1016/j.ebr.2022.100566

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Luckily, we found one manufacturer, Cochlear Ltd., that still offers the option to select this old-fashioned stimulation mode. After some minor modifications in the setup (higher rejection levels and higher number of averages), the electrophysiological measurements of the auditory pathway objectively confirmed hearing in this patient (EABR and EALR), though strong interferences caused by the trigeminal nerve stimulator made this routine measurement challenging (compare [29]. As these interferences partly appeared continuous and partly a suddenly large stimulation, only a patient-specific setup can help in modifying the rejection threshold to a higher (but as low as possible) value-and in addition set the averages per waveform to the maximum level and/or average multiple averaged waveforms or raw data after the EABR/EALR.…”

Section: Discussionmentioning

confidence: 68%

Cochlear Implantation in a Patient with Implanted Trigeminus Stimulator—Clinical Considerations for Using Two Different Electrical Stimulators in the Same Patient and Our Results

Polterauer,

Neuling,

Stoecklein

et al. 2024

JOHBM

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Implantation of two electrical stimulators of different cranial nerves in one patient is rare. We report the case of a forty-seven-year-old patient already implanted with a trigeminus nerve stimulator. In addition, this patient suffered from hearing problems. In one ear, the patient was deaf. On the other side, the patient wore a bone conduction hearing aid to improve hearing. In this complex situation, we decided to check the possibility of cochlear implantation on the deaf side. Finally, we managed to provide electrical stimulation of the auditory pathway of the deaf ear to improve the patient’s hearing tests. In addition, this case report shows how the trigeminus stimulator interferes with the electrical stimulation in auditory evoked potentials measurement of the auditory brainstem and cortex via EABR (evoked auditory brainstem response) resp. EALR (evoked auditory late response).

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Section: Discussionmentioning

confidence: 68%

Cochlear Implantation in a Patient with Implanted Trigeminus Stimulator—Clinical Considerations for Using Two Different Electrical Stimulators in the Same Patient and Our Results

Polterauer,

Neuling,

Stoecklein

et al. 2024

JOHBM

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“…These include muscle, eye, and respiratory activities, each exhibiting distinct characteristics. Identifying and mitigating these artifacts are crucial for accurate interpretation in epilepsy studies, necessitating meticulous monitoring and advanced signal processing techniques (2) . While EEG offers advantages like portability, affordability, and high temporal resolution, challenges such as spatial resolution limitations and signal-to-noise ratio constraints exist.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Comparison of Artifact Removal Techniques for Epilepsy EEG Signal

Mamatha,

Hariprasad

2024

IJST

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Objective: Accurate epilepsy diagnosis demands precise EEG analysis, hindered by non-neuronal artifacts. This study evaluates artifact removal methods, specifically Independent Component Analysis (ICA) and Empirical Mode Decomposition (EMD), aiming to enhance signal quality. We introduce a hybrid approach, combining ICA and EMD. Methods: ICA and EMD are applied to preprocess epilepsy EEG recordings. Quantitative evaluation metrics, including Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Standard Deviation (SD), are calculated and compared for both methods. Findings: ICA outperforms EMD, showing higher SNR and PSNR, notably in BONN and CHB-MIT datasets. ICA achieves significant reductions in MSE, RMSE, and SD. The hybrid approach surpasses existing methods, supported by quantitative data. Novelty: Rigorous application of ICA and EMD to diverse datasets quantitatively establishes ICA's superiority. The hybrid approach, backed by quantitative evidence, proves effective beyond epilepsy EEG. Conclusion: This abstract provides clear, quantitative support for ICA's superiority and the hybrid approach's efficacy, offering valuable insights into artifact removal in EEG analysis. Keywords: Epilepsy, Artifact removal, EEG, ICA, DWT, EMD, Performance metrics

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Deep Brain Stimulator (DBS) Artifact in the EEG of a Pediatric Patient

Gettings,

Stowe

2023

Clin EEG Neurosci

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We report the first case of deep brain stimulator (DBS) artifact in the EEG of a pediatric patient. Our case is a 7-year-old male with bilateral globus pallidus interna (GPi) DBS for whom the EEG recorded a rhythmic 7.5 Hz theta activity on EEG related to DBS artifact. This artifact was also appreciated as a monochromatic invariable frequency band over 7.5 Hz on density spectral array (DSA). This rhythmic artifact may mimic an ictal pattern and should be recognized as artifact in order to avoid unnecessary treatment with anti-seizure medications (ASM).

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Electrodiagnostic artifacts due to neurostimulation devices for drug resistant epilepsy

Cited by 5 publications

References 26 publications

Cochlear Implantation in a Patient with Implanted Trigeminus Stimulator—Clinical Considerations for Using Two Different Electrical Stimulators in the Same Patient and Our Results

Cochlear Implantation in a Patient with Implanted Trigeminus Stimulator—Clinical Considerations for Using Two Different Electrical Stimulators in the Same Patient and Our Results

Analysis and Comparison of Artifact Removal Techniques for Epilepsy EEG Signal

Deep Brain Stimulator (DBS) Artifact in the EEG of a Pediatric Patient

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