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http://hdl.handle.net/20.500.12188/22822| Title: | Validation of Data correlation - Heart Rate and Respiratory Rate from ECG in Python | Authors: | Jovanov, Stefan Ristovski, Bojan Madevska Bogdanova, Ana Kostoska, Magdalena |
Keywords: | ECG, respiratory rate, heart rate, signal processing | Issue Date: | 2021 | Conference: | 13th ICT Innovations Conference 2021 | 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. | URI: | http://hdl.handle.net/20.500.12188/22822 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| validation-of-data-correlation---heart-rate-and-respiratory-rate-from-ecg-in-python.pdf | 265.18 kB | Adobe PDF | View/Open |
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