Noninvasive assessment of intracranial pressure using functional matrix estimation method

Hack Jin Lee; Hakseung Kim; Dong Ho Lee; Xiao Ke Yang; Eun Jin Jeong; Dae Hyeon Park; Young Tak Kim; Dong Ju Kim

doi:10.1109/IWW-BCI.2015.7073052

Noninvasive assessment of intracranial pressure using functional matrix estimation method

Hack Jin Lee, Hakseung Kim, Dong Ho Lee, Xiao Ke Yang, Eun Jin Jeong, Dae Hyeon Park, Young Tak Kim, Dong Ju Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Intracranial pressure (ICP) reflects the neurological condition in patients suffering from a traumatic brain injury (TBI). Though considered as one of the most important parameters in neurocritical care, the acquisition of ICP involves invasiveness, with a considerable risk of complications. The presented study devised a novel method of acquiring ICP non-invasively via functional matrices, which usess arterial blood pressure (ABP) and cerebral blood flow velocity (CBFv) as inputs. The continuous ICP recordings of 193 TBI patients were subjected to the analysis. The relationship between ABP, CBFv and ICP was encoded within functional matrices during the five minutes of a learning period. Estimated ICP recordings were compared to the original, invasively measured ICP. The results showed that the single optimized function matrix method yielded a mean of absolute error (MAE) of 3.13 mmHg, with the SD of error (SDE) of 2.94 mmHg and the root mean square error (RMSE) of 4.40 mmHg. The multiple selective functional matrices method yielded MAE of 2.32 mmHg, SDE of 1.76 mmHg, and RMSE of 2.93 mmHg. The accuracy and low computational complexity of the methods employed in this study deserves attention.

Original language	English
Title of host publication	3rd International Winter Conference on Brain-Computer Interface, BCI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479974948
DOIs	https://doi.org/10.1109/IWW-BCI.2015.7073052
Publication status	Published - 2015 Mar 30
Event	2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of Duration: 2015 Jan 12 → 2015 Jan 14

Publication series

Name	3rd International Winter Conference on Brain-Computer Interface, BCI 2015

Other

Other	2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
Country/Territory	Korea, Republic of
City	Gangwon-Do
Period	15/1/12 → 15/1/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

cerebral blood flow
intracranial pressure
signal estimation
traumatic brain injuries

ASJC Scopus subject areas

Human-Computer Interaction
Cognitive Neuroscience
Sensory Systems

Access to Document

10.1109/IWW-BCI.2015.7073052

Cite this

Lee, H. J., Kim, H., Lee, D. H., Ke Yang, X., Jeong, E. J., Park, D. H., Kim, Y. T., & Kim, D. J. (2015). Noninvasive assessment of intracranial pressure using functional matrix estimation method. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 Article 7073052 (3rd International Winter Conference on Brain-Computer Interface, BCI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2015.7073052

Noninvasive assessment of intracranial pressure using functional matrix estimation method. / Lee, Hack Jin; Kim, Hakseung; Lee, Dong Ho et al.
3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7073052 (3rd International Winter Conference on Brain-Computer Interface, BCI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, HJ, Kim, H, Lee, DH, Ke Yang, X, Jeong, EJ, Park, DH, Kim, YT & Kim, DJ 2015, Noninvasive assessment of intracranial pressure using functional matrix estimation method. in 3rd International Winter Conference on Brain-Computer Interface, BCI 2015., 7073052, 3rd International Winter Conference on Brain-Computer Interface, BCI 2015, Institute of Electrical and Electronics Engineers Inc., 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015, Gangwon-Do, Korea, Republic of, 15/1/12. https://doi.org/10.1109/IWW-BCI.2015.7073052

Lee HJ, Kim H, Lee DH, Ke Yang X, Jeong EJ, Park DH et al. Noninvasive assessment of intracranial pressure using functional matrix estimation method. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7073052. (3rd International Winter Conference on Brain-Computer Interface, BCI 2015). doi: 10.1109/IWW-BCI.2015.7073052

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abstract = "Intracranial pressure (ICP) reflects the neurological condition in patients suffering from a traumatic brain injury (TBI). Though considered as one of the most important parameters in neurocritical care, the acquisition of ICP involves invasiveness, with a considerable risk of complications. The presented study devised a novel method of acquiring ICP non-invasively via functional matrices, which usess arterial blood pressure (ABP) and cerebral blood flow velocity (CBFv) as inputs. The continuous ICP recordings of 193 TBI patients were subjected to the analysis. The relationship between ABP, CBFv and ICP was encoded within functional matrices during the five minutes of a learning period. Estimated ICP recordings were compared to the original, invasively measured ICP. The results showed that the single optimized function matrix method yielded a mean of absolute error (MAE) of 3.13 mmHg, with the SD of error (SDE) of 2.94 mmHg and the root mean square error (RMSE) of 4.40 mmHg. The multiple selective functional matrices method yielded MAE of 2.32 mmHg, SDE of 1.76 mmHg, and RMSE of 2.93 mmHg. The accuracy and low computational complexity of the methods employed in this study deserves attention.",

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author = "Lee, {Hack Jin} and Hakseung Kim and Lee, {Dong Ho} and {Ke Yang}, Xiao and Jeong, {Eun Jin} and Park, {Dae Hyeon} and Kim, {Young Tak} and Kim, {Dong Ju}",

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N2 - Intracranial pressure (ICP) reflects the neurological condition in patients suffering from a traumatic brain injury (TBI). Though considered as one of the most important parameters in neurocritical care, the acquisition of ICP involves invasiveness, with a considerable risk of complications. The presented study devised a novel method of acquiring ICP non-invasively via functional matrices, which usess arterial blood pressure (ABP) and cerebral blood flow velocity (CBFv) as inputs. The continuous ICP recordings of 193 TBI patients were subjected to the analysis. The relationship between ABP, CBFv and ICP was encoded within functional matrices during the five minutes of a learning period. Estimated ICP recordings were compared to the original, invasively measured ICP. The results showed that the single optimized function matrix method yielded a mean of absolute error (MAE) of 3.13 mmHg, with the SD of error (SDE) of 2.94 mmHg and the root mean square error (RMSE) of 4.40 mmHg. The multiple selective functional matrices method yielded MAE of 2.32 mmHg, SDE of 1.76 mmHg, and RMSE of 2.93 mmHg. The accuracy and low computational complexity of the methods employed in this study deserves attention.

AB - Intracranial pressure (ICP) reflects the neurological condition in patients suffering from a traumatic brain injury (TBI). Though considered as one of the most important parameters in neurocritical care, the acquisition of ICP involves invasiveness, with a considerable risk of complications. The presented study devised a novel method of acquiring ICP non-invasively via functional matrices, which usess arterial blood pressure (ABP) and cerebral blood flow velocity (CBFv) as inputs. The continuous ICP recordings of 193 TBI patients were subjected to the analysis. The relationship between ABP, CBFv and ICP was encoded within functional matrices during the five minutes of a learning period. Estimated ICP recordings were compared to the original, invasively measured ICP. The results showed that the single optimized function matrix method yielded a mean of absolute error (MAE) of 3.13 mmHg, with the SD of error (SDE) of 2.94 mmHg and the root mean square error (RMSE) of 4.40 mmHg. The multiple selective functional matrices method yielded MAE of 2.32 mmHg, SDE of 1.76 mmHg, and RMSE of 2.93 mmHg. The accuracy and low computational complexity of the methods employed in this study deserves attention.

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Noninvasive assessment of intracranial pressure using functional matrix estimation method

Abstract

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Keywords

ASJC Scopus subject areas

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