Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

Detection and localization of myocardial infarction based on a convolutional autoencoder

(2019) Kaiji Sugimoto et al.   KNOWLEDGE-BASED SYSTEMS

An Automated ECG Beat Classification System Using Deep Neural Networks with an Unsupervised Feature Extraction Technique

(2019) Siti Nurmaini et al.   Applied Sciences-Basel

A Novel Electrocardiogram Biometric Identification Method Based on Temporal-Frequency Autoencoding

(2019) Di Wang et al.   Electronics

Marginal Component Analysis of ECG Signals for Beat-to-Beat Detection of Ventricular Late Potentials

(2019) Cataldo Guaragnella et al.   Electronics

Denoising signals for photoacoustic imaging in frequency domain based on empirical mode decomposition

(2018) Qinglin Kong et al.   OPTIK

Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis

(2018) Ben J M Hermans et al.   EUROPACE

Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification

(2017) Qin Qin et al.   Scientific Reports

Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition

(2016) Phuong Nguyen et al.   INFORMATION SCIENCES

A stacked contractive denoising auto-encoder for ECG signal denoising

(2016) Peng Xiong et al.   PHYSIOLOGICAL MEASUREMENT

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

(2016) Chen Xing et al.   Journal of Sensors

A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds

(2016) Madhur Srivastava et al.   IEEE Access

Multiclass Support Vector Machines for Classification of ECG Data with Missing Values

(2015) Maryamsadat Hejazi et al.   APPLIED ARTIFICIAL INTELLIGENCE

Denoising Autoencoder for Eletrocardiogram Signal Enhancement

(2015) Peng Xiong et al.   Journal of Medical Imaging and Health Informatics

A machine learning approach to multi-level ECG signal quality classification

(2014) Qiao Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

(2013) Roshan Joy Martis et al.   Biomedical Signal Processing and Control

Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques

(2013) E. Castillo et al.   Journal of Applied Mathematics

Noise-tolerant electrocardiogram beat classification based on higher order statistics of subband components

(2008) Sung-Nien Yu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE