A MISO-ARX-Based Method for Single-Trial Evoked Potential Extraction
نویسندگان
چکیده
منابع مشابه
A MISO-ARX-Based Method for Single-Trial Evoked Potential Extraction
In this paper, we propose a novel method for solving the single-trial evoked potential (EP) estimation problem. In this method, the single-trial EP is considered as a complex containing many components, which may originate from different functional brain sites; these components can be distinguished according to their respective latencies and amplitudes and are extracted simultaneously by multip...
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BACKGROUND When spinal cord functional integrity is at risk during surgery, intraoperative neuromonitoring is recommended. Tibial Single Trial Somatosensory Evoked Potentials (SEPs) and H-reflex are here used in a combined neuromonitoring method: both signals monitor the spinal cord status, though involving different nervous pathways. However, SEPs express a trial-to-trial variability that is d...
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Evoked potentials are widely used to diagnose diseases and disorders in the central nervous system. It is thus essential to develop fast algorithms which can track the variations of evoked potentials for a variety of clinical applications. The sparsity of signals in a certain transform domain or dictionary has been exploited in the extraction of noisy signal. However, it isn’t effective enough ...
متن کاملA Signal Subspace Approach for Single-trial Evoked Potential Estimation
Evoked potentials (EP) are electrophysiological signals generated by the central nervous system in response to stimulation. Subspace methods in EP analysis commonly relate to the application of the singular value decomposition (SVD) to reveal the principal features of the signals. In single-channel EP analysis, the measurement matrix is constructed based on an ensemble of singletrial EPs, obtai...
متن کاملSingle-trial evoked potential estimation using wavelets
In this paper we present conventional and translation-invariant (TI) wavelet-based approaches for single-trial evoked potential estimation based on intracortical recordings. We demonstrate that the wavelet-based approaches outperform several existing methods including the Wiener filter, least mean square (LMS), and recursive least squares (RLS), and that the TI wavelet-based estimates have high...
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ژورنال
عنوان ژورنال: BioMed Research International
سال: 2017
ISSN: 2314-6133,2314-6141
DOI: 10.1155/2017/7395385