Transformers in biosignal analysis: A review
Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …
Through outstanding performance in natural language processing and superior capability to …
Improving deep-learning electrocardiogram classification with an effective coloring method
Cardiovascular diseases, particularly arrhythmias, remain a leading cause of mortality
worldwide. Electrocardiogram (ECG) analysis plays a pivotal role in cardiovascular disease …
worldwide. Electrocardiogram (ECG) analysis plays a pivotal role in cardiovascular disease …
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low-and Middle …
Tetanus is a life-threatening bacterial infection that is often prevalent in low-and middle-
income countries (LMIC), Vietnam included. Tetanus affects the nervous system, leading to …
income countries (LMIC), Vietnam included. Tetanus affects the nervous system, leading to …
Continuous patient state attention model for addressing irregularity in electronic health records
Background Irregular time series (ITS) are common in healthcare as patient data is recorded
in an electronic health record (EHR) system as per clinical guidelines/requirements but not …
in an electronic health record (EHR) system as per clinical guidelines/requirements but not …
Identification of congenital valvular murmurs in young patients using deep learning-based attention transformers and phonocardiograms
M Alkhodari, LJ Hadjileontiadis… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
One in every four newborns suffers from congenital heart disease (CHD) that causes defects
in the heart structure. The current gold-standard assessment technique, echocardiography …
in the heart structure. The current gold-standard assessment technique, echocardiography …
A Small-Scale Switch Transformer and NLP-based Model for Clinical Narratives Classification
In recent years, Transformer-based models such as the Switch Transformer have achieved
remarkable results in natural language processing tasks. However, these models are often …
remarkable results in natural language processing tasks. However, these models are often …
Abnormal recognition-assisted and onset-offset aware network for pathological wearable ECG delineation
Y Zhang, J Lai, C Zhao, J Wang, Y Yan, M Chen… - Artificial Intelligence in …, 2024 - Elsevier
Electrocardiogram (ECG) delineation is essential to the identification of abnormal cardiac
status, especially when ECG signals are remotely monitored with wearable devices. The …
status, especially when ECG signals are remotely monitored with wearable devices. The …
Continuous patient state attention models
Irregular time-series (ITS) are prevalent in the electronic health records (EHR) as the data is
recorded in EHR system as per the clinical guidelines/requirements but not for research and …
recorded in EHR system as per the clinical guidelines/requirements but not for research and …
Systemic immune inflammation index as a predictor of disease severity in tetanus patients: A retrospective observational study
D Cheng, D Wenying, H Jizheng, S Wei, L Liang… - PloS one, 2024 - journals.plos.org
Objective This study aimed to analyze the predictive value of the systemic immune
inflammation index (SII) for the severity of disease in tetanus patients. Methods Clinical data …
inflammation index (SII) for the severity of disease in tetanus patients. Methods Clinical data …
Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach
Over the past two decades, Electrocardiography (ECG) has gained significant momentum in
the field of biometrics, offering a compelling alternative for person identity recognition based …
the field of biometrics, offering a compelling alternative for person identity recognition based …