Difference between revisions of "Float Data Hourly"

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Raw values are saved in field data_float_h.rawdata, being a list of bytes. (IEEE 754 Single(4 bytes), LittleEndian)
Raw values are saved in field data_float_h.rawdata, being a list of bytes. (IEEE 754 Single(4 bytes), LittleEndian)
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The recommended way to access this data is using our provided software ([[Get Started]]). An example on how to deserialize the raw_data field can be found [[Deserialize Raw Data|here]].
The recommended way to access this data is using our provided software ([[Get Started]]). An example on how to deserialize the raw_data field can be found [[Deserialize Raw Data|here]].
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Metavision does, in database, not differentiate between qualitative (i.e. blood pressure) and quantitative (i.e. drainage volume) data, this was done programatically saving the sum instead of average.
Metavision does, in database, not differentiate between qualitative (i.e. blood pressure) and quantitative (i.e. drainage volume) data, this was done programatically saving the sum instead of average.

Revision as of 19:51, 31 October 2022

Caption text
Name Type Description Comment
CaseID Integer Case identifier
DataID Reference
Offset Integer Time in seconds after admission
Val Float Value The unit (if applicable) is found in d_references
cnt Integer Amount of values aggregated
rawdata Blob List of 60 floats containing raw data Due to excessive storage needs minute values have been aggregated.

Aggregation Description

Most signal data is averaged. The field data_float_h.cnt describes the amount of values aggregated. It is to be expected that the first signal values have less than 60 data points, as it is quite unlikely (1:60) that signal starts on minute 0.

Raw values are saved in field data_float_h.rawdata, being a list of bytes. (IEEE 754 Single(4 bytes), LittleEndian)

The recommended way to access this data is using our provided software (Get Started). An example on how to deserialize the raw_data field can be found here.

Metavision does, in database, not differentiate between qualitative (i.e. blood pressure) and quantitative (i.e. drainage volume) data, this was done programatically saving the sum instead of average.