Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey
M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …
the human heart. Its analysis has been the main objective among the research community to …
A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication
A biometrics-based authentication system is usually a better security solution than traditional
systems which are heavily reliant on passwords, personal identification numbers or smart …
systems which are heavily reliant on passwords, personal identification numbers or smart …
ECG classification algorithm based on STDP and R-STDP neural networks for real-time monitoring on ultra low-power personal wearable devices
A Amirshahi, M Hashemi - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
This paper presents a novel ECG classification algorithm for inclusion as part of real-time
cardiac monitoring systems in ultra low-power wearable devices. The proposed solution is …
cardiac monitoring systems in ultra low-power wearable devices. The proposed solution is …
Sprsound: Open-source sjtu paediatric respiratory sound database
Q Zhang, J Zhang, J Yuan, H Huang… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
It has proved that the auscultation of respiratory sound has advantage in early respiratory
diagnosis. Various methods have been raised to perform automatic respiratory sound …
diagnosis. Various methods have been raised to perform automatic respiratory sound …
A real-time arrhythmia heartbeats classification algorithm using parallel delta modulations and rotated linear-kernel support vector machines
Real-time wearable electrocardiogram monitoring sensor is one of the best candidates in
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
assisting cardiovascular disease diagnosis. In this paper, we present a novel real-time …
An efficient ECG classification system using resource-saving architecture and random forest
BH Kung, PY Hu, CC Huang, CC Lee… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This paper presents a resource-saving system to extract a few important features of
electrocardiogram (ECG) signals. In addition, real-time classifiers are proposed as well to …
electrocardiogram (ECG) signals. In addition, real-time classifiers are proposed as well to …
A smart chair sitting posture recognition system using flex sensors and FPGA implemented artificial neural network
Sitting is the most common status of modern human beings. Some sitting postures may bring
health issues. To prevent the harm from bad sitting postures, a local sitting posture …
health issues. To prevent the harm from bad sitting postures, a local sitting posture …
A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features
M Karri, CSR Annavarapu - Expert Systems with Applications, 2023 - Elsevier
The electrocardiogram (ECG) is an extremely valuable medical examination for monitoring
cardiac disorders. The QRS waves on the ECG signal are essential in diagnosing these …
cardiac disorders. The QRS waves on the ECG signal are essential in diagnosing these …
An ECG delineation and arrhythmia classification system using slope variation measurement by ternary second-order delta modulators for wearable ECG sensors
This paper presents a system for electrocardiogram (ECG) delineation and arrhythmia
classification. The proposed system consists of a front-end integrated circuit, a delineation …
classification. The proposed system consists of a front-end integrated circuit, a delineation …