A hybrid deep learning approach for ECG-based arrhythmia classification

P Madan, V Singh, DP Singh, M Diwakar, B Pant… - Bioengineering, 2022 - mdpi.com
Arrhythmias are defined as irregularities in the heartbeat rhythm, which may infrequently
occur in a human's life. These arrhythmias may cause potentially fatal complications, which …

ECG Heartbeat Classification Based on an Improved ResNet‐18 Model

E Jing, H Zhang, ZG Li, Y Liu, Z Ji… - … Methods in Medicine, 2021 - Wiley Online Library
Based on a convolutional neural network (CNN) approach, this article proposes an
improved ResNet‐18 model for heartbeat classification of electrocardiogram (ECG) signals …

Convolutional neural networks for electrocardiogram classification

MM Al Rahhal, Y Bazi, M Al Zuair, E Othman… - Journal of Medical and …, 2018 - Springer
In this paper, we propose a transfer learning approach for Arrhythmia Detection and
Classification in Cross ECG Databases. This approach relies on a deep convolutional …

Design and implementation of a robust noise removal system in ECG signals using dual-tree complex wavelet transform

N Prashar, M Sood, S Jain - Biomedical signal processing and control, 2021 - Elsevier
The key deliverable for any health monitoring system that offers telecardiology services is
the recovery of the ECG signal related to cardiac diagnostics. Accurate analysis and …

Design of wavelet transform based electrocardiogram monitoring system

A Kumar, R Komaragiri, M Kumar - ISA transactions, 2018 - Elsevier
The new age advancements in information technology due to materials and integrated
circuit (IC) technologies and their applications in biomedical sciences have made the …

Evaluation of performance metrics and denoising of PCG signal using Wavelet Based Decomposition

SK Ghosh, RK Tripathy… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Phonocardiogram (PCG) signal contains significant bio-acoustic information reflecting the
operation of the heart, and is used to detect the various diseases related to heart valve. But it …

Identification and characterization of defects in glass fiber reinforced plastic by refining the guided lamb waves

KA Tiwari, R Raisutis - Materials, 2018 - mdpi.com
In this paper, the disbond-type defect presented on glass fiber reinforced plastic material is
analyzed by refining the guided Lamb wave signals. A segment of wind turbine blade is …

Post-processing of ultrasonic signals for the analysis of defects in wind turbine blade using guided waves

KA Tiwari, R Raisutis - The journal of strain analysis for …, 2018 - journals.sagepub.com
In this work, the most promising ultrasonic signal processing methods—discrete wavelet
transform, variational mode decomposition and Hilbert transform—are applied for the …

Defect estimation in non-destructive testing of composites by ultrasonic guided waves and image processing

KA Tiwari, R Raisutis, O Tumsys, A Ostreika… - Electronics, 2019 - mdpi.com
The estimation of the size and location of defects in multi-layered composite structures by
ultrasonic non-destructive testing using guided waves has attracted the attention of …

Artifact elimination in ECG signal using wavelet transform

TN Nguyen, TH Nguyen, VT Ngo - … Computing Electronics and …, 2020 - telkomnika.uad.ac.id
Electrocardiogram signal is the electrical actvity of the heart and doctors can diagnose heart
disease based on this electrocardiogram signal. However, the electrocardiogram signals …