Autors: Ganev, B. B., Iliev, I. T., Jekova, I. I., Krasteva, V. T.
Title: LabVIEW ECG and Noise Simulator for Advanced Synthesis of Machine Learning Databases
Keywords: – ECG simulator; EMG simulator; LabVIEW Biomedical Toolkit;

Abstract: – This study aims to develop an advanced simulator of electrocardiogram (ECG) signals and overlaid noises (electromyogram, power-line interference, baseline wander, white noise), which benefits the extended functionality of the LabVIEW Biomedical Toolkit. Interactive interface handles the visualization of time and spectral behavior of ECG, noise and mixed ECG+noise signals from Physionet databanks or artificial signal generators with advanced morphological and frequency controls. Noise-free and noisy ECG databases with fixed or randomized behavior can be thereby created for the purpose of data augmentation in machine learning arrhythmia detection strategies, or for standard performance testing of diagnostic electrocardiographs.



    31th International Scientific Conference Electronics, ET 2022 - Proceedings, 2022, Bulgaria, DOI 10.1109/ET55967.2022.9920258

    Цитирания (Citation/s):
    1. Guo, J., Li, W., Huang, H., An ECG detection device based on Convolutional Neural Network, 8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023 pp. 860-864 - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus