Abstract
Objectives: Modern neuro-critical care units generate high volumes of data. These data originate from a multitude of devices in various formats and levels of granularity. We present a new data format intended to store these data in an ordered and homogenous way.
Material and methods: The adopted data format was based on the hierarchical model, HDF5, which is capable of dealing with a mixture of small and very large datasets with equal ease. It is possible to access and manipulate individual data elements directly within a single file, and this is extensible and versatile.
Results: The file structure that was agreed divided the patient data into four different groups: ‘Annotations’ for clinical events and sporadic observations, ‘Numerics’ for all the low-frequency data, ‘Waves’ for all the high-frequency data and ‘Summaries’ for the trend data and calculated parameters. The addition of attributes to every group and dataset makes the file self-described. More than 200 files have been successfully collected and stored using this format.
Conclusion: The new file format was implemented in ICM+ software and validated as part of a collaboration with participating centres across Europe.
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Acknowledgements
This work was supported by a European CoER-TBI).
Conflicts of interest statement
P. Smielewski and M. Czosnyka have partial financial interest in the licensing of ICM+.
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Cabeleira, M., Ercole, A., Smielewski, P. (2018). HDF5-Based Data Format for Archiving Complex Neuro-monitoring Data in Traumatic Brain Injury Patients. In: Heldt, T. (eds) Intracranial Pressure & Neuromonitoring XVI. Acta Neurochirurgica Supplement, vol 126. Springer, Cham. https://doi.org/10.1007/978-3-319-65798-1_26
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DOI: https://doi.org/10.1007/978-3-319-65798-1_26
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