Academic Journal
Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals
| العنوان: | Using linear parameter varying autoregressive models to measure cross frequency couplings in EEG signals |
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| المؤلفون: | Kyriaki Kostoglou, Gernot R. Müller-Putz |
| المصدر: | Frontiers in Human Neuroscience, Vol 16 (2022) |
| بيانات النشر: | Frontiers Media S.A. |
| سنة النشر: | 2022 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | cross frequency coupling (CFC), linear parameter varying (LPV), autoregressive (AR), electroencephalogram (EEG), spinal cord injury (SCI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571 |
| الوصف: | For years now, phase-amplitude cross frequency coupling (CFC) has been observed across multiple brain regions under different physiological and pathological conditions. It has been suggested that CFC serves as a mechanism that facilitates communication and information transfer between local and spatially separated neuronal populations. In non-invasive brain computer interfaces (BCI), CFC has not been thoroughly explored. In this work, we propose a CFC estimation method based on Linear Parameter Varying Autoregressive (LPV-AR) models and we assess its performance using both synthetic data and electroencephalographic (EEG) data recorded during attempted arm/hand movements of spinal cord injured (SCI) participants. Our results corroborate the potentiality of CFC as a feature for movement attempt decoding and provide evidence of the superiority of our proposed CFC estimation approach compared to other commonly used techniques. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1662-5161 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.915815/full; https://doaj.org/toc/1662-5161; https://doaj.org/article/3e35f7cfe2b44096b01c8559838f126f |
| DOI: | 10.3389/fnhum.2022.915815 |
| الاتاحة: | https://doi.org/10.3389/fnhum.2022.915815 https://doaj.org/article/3e35f7cfe2b44096b01c8559838f126f |
| رقم الانضمام: | edsbas.6147E1B6 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 16625161 |
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| DOI: | 10.3389/fnhum.2022.915815 |