Results 161 to 170 of about 495,661 (270)
End-to-end non-invasive ECG signal generation from PPG signal: a self-supervised learning approach. [PDF]
Yalcin M, Latoschik ME.
europepmc +1 more source
Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim +5 more
wiley +1 more source
Inkjet-Printed Graphene Electrodes on a Plastic Armband for Mobile Electrocardiography. [PDF]
Guler S +5 more
europepmc +1 more source
This review provides an overview of the properties, composites and application of two‐dimensional (2D) nanomaterials for wearable electrochemical biosensors. Also, the challenges and future prospects of utilizing 2D nanomaterials in wearable electrochemical biosensor applications are discussed.
Kou Zhang +8 more
wiley +1 more source
Artificial intelligence-enabled electrocardiography to predict impending episodes of ventricular tachycardia in individuals under continuous heart rhythm monitoring. [PDF]
Pantelidis P +10 more
europepmc +1 more source
Marine silicon for biomedical sustainability
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han +3 more
wiley +1 more source
ABSTRACT Basal and standard metabolic rate (BMR and SMR) are cornerstones of physiological ecology and are assumed to be relatively fixed intrinsic properties of organisms that represent the minimum energy required to sustain life. However, this assumption is conceptually flawed. Many core maintenance processes underlying SMR are temporally partitioned
Helena Norman +4 more
wiley +1 more source
ACL-ECG: Anatomy-Aware Contrastive Learning for Multi-Lead Electrocardiograms. [PDF]
Liu W, Wu Z, Yuan Z.
europepmc +1 more source
ABSTRACT Background Predicting the need for permanent pacemaker implantation (PPM) after transcatheter aortic valve implantation (TAVI) is crucial for procedural planning and patient counseling. Aims To evaluate whether left ventricular outflow tract (LVOT) morphology, specifically a tapered configuration, predicts conduction disturbances requiring PPM
Mahmoud Abdelshafy +13 more
wiley +1 more source

