[HTML][HTML] 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 …
[HTML][HTML] ECG-based machine-learning algorithms for heartbeat classification
S Aziz, S Ahmed, MS Alouini - Scientific reports, 2021 - nature.com
Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
Wavelets for electrocardiogram: overview and taxonomy
W Li - IEEE Access, 2018 - ieeexplore.ieee.org
Physiological and pathological information within electrocardiogram (ECG) is crucial for the
diagnosis of heart diseases. Computer-aided diagnosis for the ECG signals has drawn …
diagnosis of heart diseases. Computer-aided diagnosis for the ECG signals has drawn …
R-peak detection for improved analysis in health informatics
Improvement in R-peak detection of electrocardiogram (ECG) signal is still not saturated
even requires better pre-processing, feature extraction and detection stage. Proper detection …
even requires better pre-processing, feature extraction and detection stage. Proper detection …
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
Motivation and objective Obstructive sleep apnea (OSA) is a sleep disorder identified in
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
nearly 10% of middle-aged people, which deteriorates the normal functioning of human …
Deep intermediate representation and in-set voting scheme for multiple-beat electrocardiogram classification
W Li - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Electrocardiogram (ECG) analysis based on computer-aided diagnostic systems plays an
important role in reducing the high mortality rate among cardiac patients, but this issue …
important role in reducing the high mortality rate among cardiac patients, but this issue …
[HTML][HTML] An efficient R-peak detection using Riesz fractional-order digital differentiator
Clinically, electrocardiogram (ECG) is a powerful tool for determining the health and
functioning of the human heart. Faster detection and diagnosis of heart functioning would …
functioning of the human heart. Faster detection and diagnosis of heart functioning would …
Fractional Fourier transform based QRS complex detection in ECG signal
By exploiting fractional-Fourier-transform (FrFT), a novel technique for the QRS complex
detection is proposed. The application of the FrFT rotates the Electrocardiograph (ECG) …
detection is proposed. The application of the FrFT rotates the Electrocardiograph (ECG) …
[PDF][PDF] Guided filtering based efficient digital differentiator design for electrocardiogram signal processing
D Jain, SN Sharma, A Jain - Int J Intell Eng Syst, 2021 - inass.org
Digital differentiation is an important phenomenon in digital signal processing to finding out
sudden changes in signal. In this paper design of digital differentiator based on Fourier …
sudden changes in signal. In this paper design of digital differentiator based on Fourier …
[HTML][HTML] Fusion algorithm for accurate delineation of QRS complex in ECG signal
In this paper, a novel algorithm for the accurate localization of QRS complex with low
average time error is proposed. The idea is thought that the various features of ECG signal …
average time error is proposed. The idea is thought that the various features of ECG signal …