IoT in Provenance Management of Medical Data
357
Another variant for implementation of critical scenario processing is its deployment on the edge-device level without reactive actions required from the core system.
However, as edge device observes only initial signal they only provide response
according to the markers embedded in the software (e.g. hard-coded values of recommended sensor output boundaries where significant bias enforces pre-programmed
actions).
The final level of the data provenance for the healthcare system is consolidated
entirely in a semantic engine. As data is stored in the persistence layer, obtained
information serves as a fundamental basis for semantic provenance management.
To demonstrate the importance of the semantic system design for medical data
provenance, we investigate the case of measurements of Melationin-Sulfate level.
4 Provenance of Data and Reliability of Calibrators
of Melatonin-Sulfate: Case Study
The health problems bound with the different breaks of circadian rhythms have ‘a
common root’—the melatonin [21]. Many of the widespread diseases such as cancer,
metabolic function disorders, diabetes, cardiovascular system failures are tied to the
abrupt phase shift level of melatonin as it is pointed out in review [21].
Melatonin called a “darkness hormone” is a versatile pineal hormone. Melatonin
is controlling many physiological processes of humans and mammals generally [22].
The melatonin is affecting human physiology as a whole, regulates the sleep–wake
cycle, via so-called the body’s internal clock [21, 23]. The presence of melatonin in
saliva or blood plasma, as well as the infiltration of the melatonin metabolite into the
urine, are well-known facts [22, 23].
Enzyme-linked immunosorbent assays (ELISA) are the recognized, precise
modern technique for the melatonin test in the urine. The reader can see it from
early reports [24–27] as well as recent papers [28, 29]. That quite complicated test
gives the presence and concentration of melatonin metabolite in urine exactly.
The use of calibrators is frequently the best solution in similar situations. The
paper [30] comprises a detailed guide on how to use a few calibers, each one with the
well-known dose of melatonin, to get a calibration graph. Authors of [30] not considered their results from the point of the data provenance. Meantime, its reliability is
depending on that factor.
We are going to show and spread here the other point of view on the medical data.
This approach takes into account the provenance of data based on modern technology
of its obtaining, transmitting, and processing in conditions of real competencies of
medical staff.
If one has a calibration graph (that is the “dose–response” curve), then the response
of the sample sets the melatonin concentration (dose). The response, for instance,
transmittance or the optical density of the sample, getting by photometer, allows
357
Another variant for implementation of critical scenario processing is its deployment on the edge-device level without reactive actions required from the core system.
However, as edge device observes only initial signal they only provide response
according to the markers embedded in the software (e.g. hard-coded values of recommended sensor output boundaries where significant bias enforces pre-programmed
actions).
The final level of the data provenance for the healthcare system is consolidated
entirely in a semantic engine. As data is stored in the persistence layer, obtained
information serves as a fundamental basis for semantic provenance management.
To demonstrate the importance of the semantic system design for medical data
provenance, we investigate the case of measurements of Melationin-Sulfate level.
4 Provenance of Data and Reliability of Calibrators
of Melatonin-Sulfate: Case Study
The health problems bound with the different breaks of circadian rhythms have ‘a
common root’—the melatonin [21]. Many of the widespread diseases such as cancer,
metabolic function disorders, diabetes, cardiovascular system failures are tied to the
abrupt phase shift level of melatonin as it is pointed out in review [21].
Melatonin called a “darkness hormone” is a versatile pineal hormone. Melatonin
is controlling many physiological processes of humans and mammals generally [22].
The melatonin is affecting human physiology as a whole, regulates the sleep–wake
cycle, via so-called the body’s internal clock [21, 23]. The presence of melatonin in
saliva or blood plasma, as well as the infiltration of the melatonin metabolite into the
urine, are well-known facts [22, 23].
Enzyme-linked immunosorbent assays (ELISA) are the recognized, precise
modern technique for the melatonin test in the urine. The reader can see it from
early reports [24–27] as well as recent papers [28, 29]. That quite complicated test
gives the presence and concentration of melatonin metabolite in urine exactly.
The use of calibrators is frequently the best solution in similar situations. The
paper [30] comprises a detailed guide on how to use a few calibers, each one with the
well-known dose of melatonin, to get a calibration graph. Authors of [30] not considered their results from the point of the data provenance. Meantime, its reliability is
depending on that factor.
We are going to show and spread here the other point of view on the medical data.
This approach takes into account the provenance of data based on modern technology
of its obtaining, transmitting, and processing in conditions of real competencies of
medical staff.
If one has a calibration graph (that is the “dose–response” curve), then the response
of the sample sets the melatonin concentration (dose). The response, for instance,
transmittance or the optical density of the sample, getting by photometer, allows