| Autor: |
Anita Miftahul Maghfiroh, Lamidi Lamidi, Andjar Pudji, Muhmmad Ridha Mak’ruf, Syevana Dita Musvika, Dyah Titisari, Levana Forra Wakidi, Sumber Sumber |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics ISBN: 9789813369252 |
| Popis: |
The detection of the R peak on the ECG signal is very important to use to see the amount of variability in the heart rate. So that a person’s vital signs can be known if there are heart defects including arrhythmias. Besides, several recent studies suggest that the detection of the R peak in the ECG signal can also be used to detect respiratory rate signals. Therefore, an appropriate algorithm is needed to detect the R peak in the ECG signal so that there is no mistake in diagnosing a person’s physiological state. Several researchers have developed methods for detecting the R peak in the ECG signal with advantages and disadvantages. Therefore, this paper aims to provide a specific description of the R peak detection method to facilitate other authors in developing R peak detection methods in ECG signals. References in this paper are gathered from several journals and procurements regarding the definition of peak R. The results showed that some researchers used an adaptive threshold system with an accuracy rate of 99.41%, while some other researchers used the 99.5% decomposition method, some researchers used the convoluted neural network (CNN) method with an accuracy level of 99.7%. The benefit for the next researcher is to develop a real-time R peak detection tool to use to see the amount of variability in the heart rate by using one of these methods. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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