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Cleaned Ping-level Wireless Sensor Data from the University of Utah from the...
The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in... -
Cleaned Event-level Wireless Sensor Data from the University of Utah from...
The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in... -
Spectral and image data for: Towards Cardiac Tissue Characterization Using...
Significance: Current medical imaging systems have many limitations for applications in cardiovascular diseases. New technologies may overcome these limitations. Particularly... -
Data for: Localization of the Sinoatrial and Atrioventricular Nodal Region...
Localization of the components of the cardiac conduction system (CCS) is essential for many therapeutic procedures in cardiac surgery and interventional cardiology. While... -
Data for: Restitution Characteristics of His Bundle and Working Myocardium...
The Purkinje system (PS) and the His bundle have been recently implicated as an important driver of the rapid activation rate after 1-2 minutes of ventricular fibrillation (VF).... -
Dataset for: Etiology-Specific Remodeling in Ventricular Tissue of Heart...
This dataset accompanies the research article entitled, "Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and its Implications for Computational... -
Spectral data for: Towards Intraoperative Quantification of Atrial Fibrosis...
Light-scattering spectroscopy (LSS) is an established optical approach for nondestructive characterization of biological tissues. Here, we investigated the capabilities of LSS... -
Raw Wireless Sensor Data from the University of Utah from the CDC-funded...
The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in...