Recent advances of ECG monitoring and webserver health monitoring applications: A review
In response to recent improvements in mobile technology and cloud computing-based real-
time monitoring systems, numerous cloud-based healthcare services and devices have …
time monitoring systems, numerous cloud-based healthcare services and devices have …
Classification of cardiac arrhythmia of 12 lead ecg using combination of smoteenn, xgboost and machine learning algorithms
BR Manju, AR Nair - 2019 9th International Symposium on …, 2019 - ieeexplore.ieee.org
Cardiac Arrhythmia is one of those common diseases leading to severe health problems for
patients and even sudden death in some cases. Early detection of arrhythmias has a great …
patients and even sudden death in some cases. Early detection of arrhythmias has a great …
Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
K Karhinoja, A Vasankari, JP Sirkiä, A Airola… - arxiv preprint arxiv …, 2024 - arxiv.org
By generating synthetic biosignals, the quantity and variety of health data can be increased.
This is especially useful when training machine learning models by enabling data …
This is especially useful when training machine learning models by enabling data …
Model-driven analysis of ECG using reinforcement learning
Modeling is essential to better understand the generative mechanisms responsible for
experimental observations gathered from complex systems. In this work, we are using such …
experimental observations gathered from complex systems. In this work, we are using such …
Simulation of pathological ECG signal using transform method
BR Manju, B Akshaya - Procedia Computer Science, 2020 - Elsevier
Electrocardiography (ECG) is the depiction of the hearts recorded electrical activity, obtained
by attaching electrodes that are specifically designed to place at particular points of human …
by attaching electrodes that are specifically designed to place at particular points of human …
[PDF][PDF] Model for generating simple synthetic ECG signals
P Dolinský, I Andráš, L Michaeli… - Acta Electrotechnica …, 2018 - pdfs.semanticscholar.org
This paper proposes a mathematical model for generating synthetic artificial ECG signal
based on geometrical features of a real ECG signal. By variation of its parameters each …
based on geometrical features of a real ECG signal. By variation of its parameters each …
A piecewise spline approach for modeling of ECG signals
A Mishra, S Bhusnur - Biomedical Physics & Engineering Express, 2023 - iopscience.iop.org
This paper presents a new spline-based modeling method of electrocardiogram (ECG)
signal that can reproduce normal as well as abnormal ECG beats. Large volume ECG data …
signal that can reproduce normal as well as abnormal ECG beats. Large volume ECG data …
Independent detection of T-waves in single lead ECG signal using Continuous Wavelet Transform
Introduction In the ECG signals, T-waves play a very important role in the detection of
cardiac arrest. During myocardial ischemia, the first significant change occurs on the T …
cardiac arrest. During myocardial ischemia, the first significant change occurs on the T …
Development of Hardware and Software for Generating Test ECG Signals.
AK Gerasimov, ZN Pedonova - Biomedical Engineering, 2022 - go.gale.com
Existing techniques for the synthesis of ECG signals were reviewed. The optimum technique
for an ECG signal generator was identified. Software for synthesizing calibration signals with …
for an ECG signal generator was identified. Software for synthesizing calibration signals with …
Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction
H Khezripour, SP Mozaffari, M Reshadi… - Biomedical Physics & …, 2023 - iopscience.iop.org
Arrhythmias using electrocardiogram (ECG) signal is important in medical and computer
research due to the timely diagnosis of dangerous cardiac conditions. The current study …
research due to the timely diagnosis of dangerous cardiac conditions. The current study …