Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22822
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dc.contributor.authorJovanov, Stefanen_US
dc.contributor.authorRistovski, Bojanen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.contributor.authorKostoska, Magdalenaen_US
dc.date.accessioned2022-09-02T12:23:31Z-
dc.date.available2022-09-02T12:23:31Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22822-
dc.description.abstractWearable biosensors that measure ECG, used in time critical situations of mass casualties, when fast triage procedure must be accomplished, might not support heart rate (HR) and respiratory rate (RR) measurement. These parameters can be calculated using the ECG signal. In this paper we are exploring the use of Python libraries by validating the correlation between the HR and RR calculated from an ECG signal and the measured HR and RR for the same patients, at the same time. The correlation for HR is 0.9, but the RR correlation is very low. Another part of the paper elaborates the importance of the data quality.en_US
dc.subjectECG, respiratory rate, heart rate, signal processingen_US
dc.titleValidation of Data correlation - Heart Rate and Respiratory Rate from ECG in Pythonen_US
dc.typeProceedingsen_US
dc.relation.conference13th ICT Innovations Conference 2021en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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