ECG signal PQRS detection and comprehensive estimation of signal noise

Autor: Hemant Amhia, A. K. Wadhwani
Rok vydání: 2022
Předmět:
Zdroj: International journal of health sciences. :10858-10870
ISSN: 2550-696X
2550-6978
DOI: 10.53730/ijhs.v6ns2.7906
Popis: Automated bioelectric signal analysis has an important application in the wisdom medical care. In this work, we focus on ECG-signal and address a novel approach for cardiac arrhythmia diseases classification. We designed a novel analysis framework which extract different feature transformations from ECG signals. And we trained the ANN model for multi-feature to obtain the prediction. Finally, we tested our approach on the public database of MIT-BIH arrhythmia. And the results of experiments on the database demonstrate our model has better classification performance than other approaches.
Databáze: OpenAIRE