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 …
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 …
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 …
The new age advancements in information technology due to materials and integrated circuit (IC) technologies and their applications in biomedical sciences have made the …
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 …
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 …
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 …
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 …
Electrocardiogram signal is the electrical actvity of the heart and doctors can diagnose heart disease based on this electrocardiogram signal. However, the electrocardiogram signals …