Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression
We provide a method for estimating brain metabolic state based on a reduced-order model of EEG burst suppression. The model, derived from previously suggested biophysical mechanisms of burst suppression, describes important electrophysiological features and provides a direct link to cerebral metabol...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2020
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| Online Access: | https://hdl.handle.net/1721.1/125157 |
| _version_ | 1826191502931394560 |
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| author | Westover, M. Brandon Ching, ShiNung Shafi, Mouhsin M. Cash, Sydney S. Brown, Emma N. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Westover, M. Brandon Ching, ShiNung Shafi, Mouhsin M. Cash, Sydney S. Brown, Emma N. |
| author_sort | Westover, M. Brandon |
| collection | MIT |
| description | We provide a method for estimating brain metabolic state based on a reduced-order model of EEG burst suppression. The model, derived from previously suggested biophysical mechanisms of burst suppression, describes important electrophysiological features and provides a direct link to cerebral metabolic rate. We design and fit the estimation method from EEG recordings of burst suppression from a neurological intensive care unit and test it on real and synthetic data. |
| first_indexed | 2024-09-23T08:57:11Z |
| format | Article |
| id | mit-1721.1/125157 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:57:11Z |
| publishDate | 2020 |
| publisher | Cambridge University Press |
| record_format | dspace |
| spelling | mit-1721.1/1251572022-09-30T12:23:21Z Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression Westover, M. Brandon Ching, ShiNung Shafi, Mouhsin M. Cash, Sydney S. Brown, Emma N. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology. Institute for Medical Engineering & Science Harvard University--MIT Division of Health Sciences and Technology We provide a method for estimating brain metabolic state based on a reduced-order model of EEG burst suppression. The model, derived from previously suggested biophysical mechanisms of burst suppression, describes important electrophysiological features and provides a direct link to cerebral metabolic rate. We design and fit the estimation method from EEG recordings of burst suppression from a neurological intensive care unit and test it on real and synthetic data. 2020-05-11T18:39:30Z 2020-05-11T18:39:30Z 2015 2019-09-30T14:07:06Z Article http://purl.org/eprint/type/ConferencePaper 9781139941433 1139941437 https://hdl.handle.net/1721.1/125157 Westover, M. B., et al. “Real-Time Segmentation and Tracking of Brain Metabolic State in ICU EEG Recordings of Burst Suppression.” Advanced State Space Methods for Neural and Clinical Data, edited by Zhe Chen, Cambridge University Press, 2015, 330–44. en http://dx.doi.org/10.1017/CBO9781139941433.015 Advanced State Space Methods for Neural and Clinical Data Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Cambridge University Press PMC |
| spellingShingle | Westover, M. Brandon Ching, ShiNung Shafi, Mouhsin M. Cash, Sydney S. Brown, Emma N. Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title_full | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title_fullStr | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title_full_unstemmed | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title_short | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression |
| title_sort | real time segmentation and tracking of brain metabolic state in icu eeg recordings of burst suppression |
| url | https://hdl.handle.net/1721.1/125157 |
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