Abstract | ||
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Measuring the body temperature of a neonatal has a vital importance for daily baby care. Especially for premature babies, measuring the neonatal baby's body temperature is considerably significant. The rapid development of the medical thermography technologies provides the measurement of body temperature accurately without any contact. Recently, the use of non-invasive, un-ionized, fast and reliable method of infrared thermal imaging has got importance in neonatal intensive care unit. The importance of monitoring "thermal asymmetry" or "time-dependent thermal differences" in the evaluation of disease prediagnosis or post-diagnosis follow-up is vital. The purpose of this study is to create an analytical system based on infrared thermal imaging, non-contact, non-invasive, non-ionized and with a lower error rate than existing systems. |
Year | Venue | Keywords |
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2018 | Signal Processing and Communications Applications Conference | neonatal,infrared thermal imaging,thermal image processing |
Field | DocType | ISSN |
Computer vision,Neonatal intensive care unit,Thermography,Computer science,Medical physics,Artificial intelligence,Intensive care | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Duygu Savasci | 1 | 0 | 0.34 |
Murat Ceylan | 2 | 80 | 8.37 |