Real-Time Analysis of Intracranial Pressure Waveform Morphology

Scalzo, Fabien; Hamilton, Robert; Hu, Xiao

doi:10.5772/31501

Cited by 2 publications

(1 citation statement)

References 68 publications

(86 reference statements)

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“…In neuroscience data the analysis of the intracranial pressure (ICP) waveform is a particular challenge and a number of algorithms [9,10] have been proposed. In particular, algorithms suitable for ICP peak detection must be suited to multi-scale features, changing waveform morphology with time and poor signal-to-noise.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Peak and Trough Detection Optimised for Periodic and Quasi-Periodic Neuroscience Data

Bishop

Ercole

2018

Acta Neurochirurgica Supplement

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The accurate interpretation of waveform data to identify peaks and troughs is crucial in signal parameterisation, feature extraction and waveform identification tasks. Modification of a standard scalogram technique has produced a robust algorithm with linear computational complexity that is particularly suited to the challenges presented by large, noisy physiological datasets. The algorithm is optimised through a single parameter and can identify sub-waveform features with minimal additional overhead, and is easily adapted to run in real time on commodity hardware.

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Section: Introductionmentioning

confidence: 99%

Multi-Scale Peak and Trough Detection Optimised for Periodic and Quasi-Periodic Neuroscience Data

Bishop

Ercole

2018

Acta Neurochirurgica Supplement

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Analysis of a Non-invasive Intracranial Pressure Monitoring Method in Patients with Traumatic Brain Injury

Frigieri

Andrade

Dias

et al. 2018

Acta Neurochirurgica Supplement

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The similarity between the iICP and nICP monitoring methods was higher than the similarity between the nICP and the recordings of the radial ABP for all seven patients. Despite the possible differences between the shape of the ABP waveform at radial and parietal arteries, the results indicate-based on the similarities of iICP and nICP as functions of time-that the nICP method can be applied as an alternative method for ICP monitoring.

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Real-Time Analysis of Intracranial Pressure Waveform Morphology

Cited by 2 publications

References 68 publications

Multi-Scale Peak and Trough Detection Optimised for Periodic and Quasi-Periodic Neuroscience Data

Multi-Scale Peak and Trough Detection Optimised for Periodic and Quasi-Periodic Neuroscience Data

Analysis of a Non-invasive Intracranial Pressure Monitoring Method in Patients with Traumatic Brain Injury

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