Noninvasive assessment of intracranial pressure using functional matrix estimation method

Brain-Computer Interface(2015)

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摘要
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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关键词
biomedical ultrasonics,blood,brain,computational complexity,data acquisition,haemodynamics,injuries,mean square error methods,medical signal processing,neurophysiology,icp acquisition,icp recordings,rmse,arterial blood pressure,cerebral blood flow velocity,encoding,functional matrix estimation method,intracranial pressure,learning period,mean-of-absolute error,neurocritical care,neurological condition,noninvasive assessment,root mean square error,single optimized function matrix method,traumatic brain injury,cerebral blood flow,signal estimation,traumatic brain injuries,hafnium,decision support systems,blood flow,estimation
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