heart

EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars
EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact… read more

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed… read more

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction
Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed… read more

Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level
Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To evaluate the suitability of seismocardiogram (SCG) and gyrocardiogram (GCG) recorded at the skin level to classify aortic stenosis (AS) patients from healthy volunteers, and to determine the optimal… read more

NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning
NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence,… read more

Grand Challenges at the Interface of Engineering and Medicine
Grand Challenges at the Interface of Engineering and Medicine 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution… read more
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