Pseudo anomalies enhanced deep support vector data description for electrocardiogram quality assessment
X Huang, F Zhang, H Fan, H Chang, B Zhou… - Computers in Biology and …, 2024 - Elsevier
Electrocardiogram (ECG) recordings obtained from wearable devices are susceptible to
noise interference that degrades the signal quality. Traditional methods for assessing the …
noise interference that degrades the signal quality. Traditional methods for assessing the …
[HTML][HTML] A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Plantar pressure distribution offers insights into foot function, gait mechanics, and foot-
related issues. This systematic review presents an analysis of the use of artificial neural …
related issues. This systematic review presents an analysis of the use of artificial neural …
A hybrid lightweight breast cancer classification framework using the histopathological images
D Addo, S Zhou, K Sarpong, OT Nartey… - Biocybernetics and …, 2024 - Elsevier
A crucial element in the diagnosis of breast cancer is the utilization of a classification method
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
Multi-stream Bi-GRU network to extract a comprehensive feature set for ECG signal classification
Electrocardiogram (ECG) signal analysis plays a crucial role in diagnosing and monitoring
various cardiac diseases. Automatic ECG beat classification is necessary to analyze long …
various cardiac diseases. Automatic ECG beat classification is necessary to analyze long …
[HTML][HTML] Dynamic Electrocardiogram Signal Quality Assessment Method Based on Convolutional Neural Network and Long Short-Term Memory Network
C He, Y Wei, Y Wei, Q Liu, X An - Big Data and Cognitive Computing, 2024 - mdpi.com
Cardiovascular diseases (CVDs) are highly prevalent, sudden onset, and relatively fatal,
posing a significant public health burden. Long-term dynamic electrocardiography, which …
posing a significant public health burden. Long-term dynamic electrocardiography, which …
Spatio-spectral independent component analysis for fetal ECG extraction from two-channel maternal abdominal signals
MP Kotas, AM AlShrouf - Biocybernetics and Biomedical Engineering, 2024 - Elsevier
Independent component analysis (ICA) is widely used to separate maternal and fetal
electrocardiograms. However, it has become less effective due to the efforts to reduce the …
electrocardiograms. However, it has become less effective due to the efforts to reduce the …
SwinDAE: Electrocardiogram Quality Assessment Using 1D Swin Transformer and Denoising AutoEncoder
G Chen, T Shi, B Xie, Z Zhao, Z Meng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: Electrocardiogram (ECG) signals have wide-ranging applications in various
fields, and thus it is crucial to identify clean ECG signals under different sensors and …
fields, and thus it is crucial to identify clean ECG signals under different sensors and …
[HTML][HTML] Predicting the Remaining Time before Earthquake Occurrence Based on Mel Spectrogram Features Extraction and Ensemble Learning
B Zhang, T Xu, W Chen, C Zhang - Applied Sciences, 2023 - mdpi.com
Predicting the remaining time before the next earthquake based on seismic signals
generated in a laboratory setting is a challenging research task that is of significant …
generated in a laboratory setting is a challenging research task that is of significant …
A Rhythm-Specific ECG Signal Quality Assessment Framework for Robust Cardiac Health Monitoring of AI-based Arrhythmia Classifer
J Liu, X Zhou, X Liu, X Wang… - 2023 IEEE Biomedical …, 2023 - ieeexplore.ieee.org
Electrocardiogram (ECG) is an essential approach for monitoring cardiovascular diseases
(CVDs). However, ECG signals obtained from wearable devices are often corrupted by …
(CVDs). However, ECG signals obtained from wearable devices are often corrupted by …
Deformable CAE 모형을이용한효율적인CT 영상잡음제거
성언승， 한성현， 허지혜， 임동훈 - 한국컴퓨터정보학회논문지, 2023 - dbpia.co.kr
CT 영상의 획득 및 전송 등의 과정에서 발생하는 잡음은 영상의 질을 저하시키는 요소로
작용한다. 따라서 이를 해결하기 위한 잡음제거는 영상처리에서 중요한 전처리 과정이다. 본 …
작용한다. 따라서 이를 해결하기 위한 잡음제거는 영상처리에서 중요한 전처리 과정이다. 본 …