A critical review of feature extraction techniques for ECG signal analysis
An Electrocardiogram (ECG) is a primary and most prevalent non-invasive test performed on
the subjects'(ie patients') with suspected heart problems. It helps in diagnosing important …
the subjects'(ie patients') with suspected heart problems. It helps in diagnosing important …
BP signal analysis using emerging techniques and its validation using ECG signal
Monitoring of blood pressure (BP), heart rate (HR), respiratory (RSP),
Photoplethysmography (PPG), and Electrocardiogram (ECG) are generally used for any …
Photoplethysmography (PPG), and Electrocardiogram (ECG) are generally used for any …
A novel FrWT based arrhythmia detection in ECG signal using YWARA and PCA
In general, Electrocardiogram (ECG) signal gets corrupted by variety of noise at the time of
its acquisition. Unfortunately, these noise tend to mask the crucial information …
its acquisition. Unfortunately, these noise tend to mask the crucial information …
FrWT-PPCA-based R-peak detection for improved management of healthcare system
Fourier analysis is well known to provide complete information of the frequencies present in
a signal. But in the process, time information is lost. Therefore, its time-frequency …
a signal. But in the process, time information is lost. Therefore, its time-frequency …
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
Deep learning-based tools may annotate and interpret medical data more quickly,
consistently, and accurately than medical doctors. However, as medical doctors are …
consistently, and accurately than medical doctors. However, as medical doctors are …
Combination resonances of a dual-rotor system with inter-shaft bearing
L Hou, Y Chen, Y Chen - Nonlinear Dynamics, 2023 - Springer
This paper focuses on the combination resonances of a dual-rotor system with inter-shaft
bearing. The motion equations of the dual-rotor system are formulated by the Lagrange …
bearing. The motion equations of the dual-rotor system are formulated by the Lagrange …
ECG signal analysis based on the spectrogram and spider monkey optimisation technique
Heart is responsible for circulation of the blood throughout the human body. The conduction
of the heart is nonlinear in nature and hence needs appropriate utilisation of technological …
of the heart is nonlinear in nature and hence needs appropriate utilisation of technological …
[HTML][HTML] Semi-supervised active transfer learning for fetal ECG arrhythmia detection
Deep learning has demonstrated excellent results for ECG anomaly detection, wherein most
approaches used supervised learning. The requirement of thousands of manually annotated …
approaches used supervised learning. The requirement of thousands of manually annotated …
Binarized spiking neural network optimized with momentum search algorithm for fetal arrhythmia detection and classification from ECG signals
Diagnosing the fetal cardiac abnormalities by fetal electrocardiogram (FECG) is a difficult
task, but it is essential to identify the fetus health condition. FECG monitoring is essential to …
task, but it is essential to identify the fetus health condition. FECG monitoring is essential to …
A dual self-calibrating framework for noninvasive fetal ECG R-peak detection
Fetal heart rate (fHR) is critical for assessing fetal health and diagnosing disorders, such as
fetal distress, congenital heart disease, and intrauterine growth retardation. With the rapid …
fetal distress, congenital heart disease, and intrauterine growth retardation. With the rapid …