Comparison of Several Wavelet Transform Techniques for Inferring ECG Signal Classification

Author:

Sururi Anasya Miftakus1ORCID,Pramukantoro Eko Sakti1ORCID,Amron Kasyful1ORCID,Wardhani Viera1ORCID,Kamila Putri Annisa1ORCID

Affiliation:

1. Universitas Brawijaya, Indonesia

Publisher

ACM

Reference26 articles.

1. Association for the Advancement of Medical Instrumentation , N and others . 1998 . Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. ANSI/AAMI EC 38 1998 (1998), 46. Association for the Advancement of Medical Instrumentation, N and others. 1998. Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms. ANSI/AAMI EC38 1998 (1998), 46.

2. ECG interpretation skill acquisition: A review of learning, teaching and assessment

3. Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms

4. Maciej Golgowski and Stanisław Osowski . 2021. Classical versus deep learning methods for anomaly detection in ECG using wavelet transformation. PRZEGLĄD ELEKTROTECHNICZNY ( 2021 ). Maciej Golgowski and Stanisław Osowski. 2021. Classical versus deep learning methods for anomaly detection in ECG using wavelet transformation. PRZEGLĄD ELEKTROTECHNICZNY (2021).

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