In this paper, we propose electrocardiogram (ECG) signal processing using mini computer Raspberry Pi 3 Model B (RasPi) for Sudden Cardiac Death (SCD) ...
Abstract—In this paper, we propose electrocardiogram. (ECG) signal processing using mini computer Raspberry Pi 3. Model B (RasPi) for Sudden Cardiac Death ...
In this paper, we propose electrocardiogram (ECG) signal processing using mini computer Raspberry Pi 3 Model B (RasPi) for Sudden Cardiac Death (SCD) ...
Request PDF | On Nov 1, 2020, Zainul Abidin and others published ECG Signal Processing Using Fuzzy Classification for Sudden Cardiac Death Prediction | Find ...
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In this article a new classification method is presented to classify ECG signals more precisely based on dynamical model of the ECG signal.
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ECG-Based Identification of Sudden Cardiac Death through Sparse ...
www.ncbi.nlm.nih.gov › PMC8622957
Nov 18, 2021 · This work proposes SCD identification using Electrocardiogram (ECG) signals and a sparse representation technique.
Mar 7, 2023 · This paper proposed a multi-domain features fusion algorithm to predict SCD. Heart rate variability (HRV) signals was used to investigate the characters of SCD.
This paper studies prediction and classification of fatal VA using phase-space reconstruction and fuzzy c-means clustering and subsequently, a risk index has ...
Methods and techniques based on HRV used by researchers in order to detect and predict sudden cardiac death are reviewed.
Mar 14, 2022 · In this work, A novel method for the early detection of SCD using DWT of the ECG signal is proposed. However, the performance of the DWT ...