Real-Time Clustered Multiple Signal Classification (RTC-MUSIC)
| Autor: | Daniel Baumgarten, Matti Hämäläinen, Steffen Bollmann, Jens Haueisen, Christoph Dinh, Johannes Rühle, Daniel Güllmar, Lorenz Esch |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Speech recognition 0206 medical engineering 02 engineering and technology Electroencephalography Signal-To-Noise Ratio Brain mapping Functional Laterality Article 03 medical and health sciences 0302 clinical medicine Signal-to-noise ratio Atlases as Topic Evoked Potentials Somatosensory medicine Cluster Analysis Humans Radiology Nuclear Medicine and imaging Sensitivity (control systems) Brain Mapping Radiological and Ultrasound Technology medicine.diagnostic_test Brain atlas k-means clustering Brain Magnetoencephalography 020601 biomedical engineering Neurology Temporal resolution Evoked Potentials Auditory Neurology (clinical) Anatomy 030217 neurology & neurosurgery Algorithms |
| Zdroj: | Brain Topography |
| ISSN: | 1573-6792 |
| Popis: | Magnetoencephalography (MEG) and Electroencephalography (EEG) provide a high temporal resolution, which allows estimation of the detailed time courses of neuronal activity. However, in real-time analysis of these data two major challenges must be handled: the low signal-to-noise ratio (SNR) and the limited time available for computations. In this work, we present Real-Time Clustered Multiple Signal Classification (RTC-MUSIC) a real-time source localization algorithm, which can handle low SNRs and can reduce the computational effort. It provides correlation information together with sparse source estimation results, which can, e.g., be used to identify evoked responses with high sensitivity. RTC-MUSIC clusters the forward solution based on an anatomical brain atlas and optimizes the scanning process inherent to MUSIC approaches. We evaluated RTC-MUSIC by analyzing MEG auditory and somatosensory data. The results demonstrate that the proposed method localizes sources reliably. For the auditory experiment the most dominant correlated source pair was located bilaterally in the superior temporal gyri. The highest activation in the somatosensory experiment was found in the contra-lateral primary somatosensory cortex (SI). |
| Databáze: | OpenAIRE |
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