[HTML][HTML] Multiple physiological signals fusion techniques for improving heartbeat detection: A review
This paper presents a review of the techniques found in the literature that aim to achieve a
robust heartbeat detection from fusing multi-modal physiological signals (eg …
robust heartbeat detection from fusing multi-modal physiological signals (eg …
[HTML][HTML] A Novel Algorithm for Automated Human Single-Lead ECG Pre-Annotation and Beat-to-Beat Separation for Heartbeat Classification Using Autoencoders
A Benhamida, M Kozlovszky - Electronics, 2022 - mdpi.com
An electrocardiogram (ECG) is used to check the electrical activity of the heart over a limited
short-term or long-term period. Short-term observations are often used in hospitals or clinics …
short-term or long-term period. Short-term observations are often used in hospitals or clinics …
An empirical study of modified beat SQI based majority voting fusion method for heart-rate estimation in noisy multimodal cardiovascular signals
SA Rankawat - Physiological Measurement, 2022 - iopscience.iop.org
Objectives. Most existing heartbeat-detection algorithms rely heavily on cardiovascular
signals, namely electrocardiogram (ECG) and arterial blood pressure (ABP), which are often …
signals, namely electrocardiogram (ECG) and arterial blood pressure (ABP), which are often …
Real-time R-spike detection in the cardiac waveform through independent component analysis
H Martin, W Izquierdo, M Cabrerizo… - 2017 IEEE Signal …, 2017 - ieeexplore.ieee.org
Electrocardiograms (EKGs) are the most common diagnosis tools used for the detection and
diagnosis of cardiovascular diseases and abnormalities. In this paper, we proposed a …
diagnosis of cardiovascular diseases and abnormalities. In this paper, we proposed a …
Development of a Real-Time Single-Lead Single-Beat Frequency-Independent Myocardial Infarction Detector
H Martin - 2021 - digitalcommons.fiu.edu
The central aim of this research is the development and deployment of a novel multilayer
machine learning design with unique application for the diagnosis of myocardial infarctions …
machine learning design with unique application for the diagnosis of myocardial infarctions …