Subject: ECG, respiratory rate, heart rate, signal processing
Year: 2021
Type: Proceedings
Title: Validation of Data correlation - Heart Rate and Respiratory Rate from ECG in Python
Author: Jovanov, Stefan
Author: Ristovski, Bojan
Author: Madevska Bogdanova, Ana
Author: Kostoska, Magdalena
Abstract: Wearable 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.
Publisher:
Relation: 13th ICT Innovations Conference 2021
Identifier: oai:repository.ukim.mk:20.500.12188/22822
Identifier: http://hdl.handle.net/20.500.12188/22822
