HDF5-Based Data Format for Archiving Complex Neuro-monitoring Data in Traumatic Brain Injury Patients.
Acta Neurochir Suppl
; 126: 121-125, 2018.
Article
en En
| MEDLINE
| ID: mdl-29492546
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 ANDMETHODS:
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.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Gestión de la Información en Salud
/
Lesiones Traumáticas del Encéfalo
/
Monitoreo Fisiológico
Tipo de estudio:
Prognostic_studies
Límite:
Humans
País/Región como asunto:
Europa
Idioma:
En
Revista:
Acta Neurochir Suppl
Año:
2018
Tipo del documento:
Article
País de afiliación:
Reino Unido