ECG signal analysis using CWT, spectrogram and autoregressive technique
The cardiovascular system is a combination of the heart, blood and blood vessels.
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …
Efficient R-peak detection in electrocardiogram signal based on features extracted using Hilbert transform and Burg method
Electrocardiogram (ECG) is a non-invasive test which is highly adopted as a primary
diagnostic tool for cardiovascular diseases. ECG recording appears as a non-stationary and …
diagnostic tool for cardiovascular diseases. ECG recording appears as a non-stationary and …
ECG signal diagnosis using Discrete Wavelet Transform and K-Nearest Neighbor classifier.
Y Toulni, T Belhoussine Drissi, B Nsiri - Proceedings of the 4th …, 2021 - dl.acm.org
Early detection of heart problems can save the lives of many people around the world; the
electrical activity of the heart represented by electrocardiograms (ECGs) gives us important …
electrical activity of the heart represented by electrocardiograms (ECGs) gives us important …
[PDF][PDF] Advanced Low-Pass Filters for Signal Processing: A Comparative Study on Gaussian, Mittag-Leffler, and Savitzky-Golay Filters.
YZ Rawash, B Al‐Naami, A Alfraihat… - Mathematical Modelling …, 2024 - researchgate.net
Signal processing plays a crucial role in biomedical applications, facilitating accurate health
monitoring and clinical diagnoses. This study presents a comparative analysis of Gaussian …
monitoring and clinical diagnoses. This study presents a comparative analysis of Gaussian …
A review of the filters and the filtering techniques in electrocardiography
The use of filters in medical devices have not only expanded tremendously but they have
also become an important part of the electrocardiography (ECG). Filters are considered …
also become an important part of the electrocardiography (ECG). Filters are considered …
[PDF][PDF] Speeding up an adaptive filter based ECG signal pre-processing on embedded architectures
Medical applications increasingly require complex calculations with constraints of
accelerated processing time. These applications are therefore oriented towards the …
accelerated processing time. These applications are therefore oriented towards the …
Text-independent speaker recognition using deep neural networks
In this paper, a deep neural network is proposed for Speaker Verification (SV) system. SV is
an authentication process, which involves the examination of knowing, if the speaker is the …
an authentication process, which involves the examination of knowing, if the speaker is the …
[PDF][PDF] Hardware architecture for adaptive dual threshold filter and discrete wavelet transform based ECG signal denoising
S Mejhoudi, RLW Jenkal, A Saddik… - International journal of …, 2021 - hal.science
The ECG signal, like all signals obtained when instrumenting a data acquisition system, is
affected by noises of physiological and technical sources such as Electromyogram (EMG) …
affected by noises of physiological and technical sources such as Electromyogram (EMG) …
Novel generalized low-pass filter with adjustable parameters of exponential-type forgetting and its application to ECG signal
I Petráš - Sensors, 2022 - mdpi.com
In this paper, a novel form of the Gaussian filter, the Mittag–Leffler filter is presented. This
new filter uses the Mittag–Leffler function in the probability-density function. Such Mittag …
new filter uses the Mittag–Leffler function in the probability-density function. Such Mittag …
ECG Denoising: Evaluating the Effectiveness of Different Algorithms
SS Nair, NK PP, KP Safeer - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Electrocardiography (ECG) is extensively used in diagnosing cardiovascular conditions. The
electrical activity of the heart is recorded by an electrocardiogram (ECG), yet noise …
electrical activity of the heart is recorded by an electrocardiogram (ECG), yet noise …