Search Results - cardiovascular+monitoring

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Synchronized Biventricular Heart Pacing Using Wirelessly Powered Leadless Pacemakers (Cases 2019-237 & 2020-401)
Summary: UCLA researchers in the department of electrical and computer engineering have developed a device for synchronized biventricular pacing. Background: Many patients with impaired cardiac function suffer from ventricular desynchrony, a condition that involves a lack of synchronization between the contractions of the left and right ventricles...
Published: 9/19/2024   |   Inventor(s): Aydin Babakhani, Hongming Lyu, Medhi Razavi, Mathews John, Allison Post
Keywords(s): acute myocardial infarction, cardiac cycle, Cardiac failure, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular modeling, cardiovascular monitoring, cardiovascular prediction, cardiovascular therapeutic solution, medical device cardiac monitoring, non-invasive cardiac monitoring, tachycardia
Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Monitoring And Recording Systems
A Self-Assembled Implantable Microtubular Pacemaker for Wireless Cardiac Electrotherapy (Case No. 2024-059)
Summary: UCLA researchers in the Department of Bioengineering have developed a novel implantable microtubular pacemaker for reliable and comfortable pacing for patients with arrythmias. Background: Cardiac pacemakers are essential devices used to manage abnormal heart rhythms, or arrythmias, by sending electrical pulses to prompt the heart to beat...
Published: 9/13/2024   |   Inventor(s): Tzung Hsiai, Shaolei Wang
Keywords(s): arrhythmia, Cardiac Electrophysiology, cardiovascular monitoring, central venous pressure (CVP), Continuous blood pressure monitoring, critical care, heart failure, hemodynamic monitoring, image signal processing, implantable sensors, medical device cardiac monitoring, non-invasive monitoring, pulmonary arterial pressure (PAP), wearable
Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Electrical, Electrical > Flexible Electronics, Medical Devices > Hospital Systems, Medical Devices > Cardiac
Deep Neural Networks for Real-Time Non-invasive Continuous Peripheral Oxygen Saturation Monitoring (Case No. 2024-227)
Summary: UCLA researchers in the Department of Anesthesiology have developed a novel pulse oximetry methodology utilizing deep neural networks for non-invasive monitoring. Background: In the US alone, over 5 million patients are admitted to the ICU for oxygen saturation monitoring. They, as well as the more than 15 million patients undergoing surgery,...
Published: 7/26/2024   |   Inventor(s): Sungsoo (Danny) Kim, Sohee Kwon, Mia Markey, Alan Bovik, Akos Rudas, Ravi Pal, Maxime Cannesson
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Blood Pressure, cardiovascular monitoring, central venous pressure (CVP), Continuous blood pressure monitoring, critical care, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, machine learning modeling, Monitoring (Medicine), neural network, non-invasive monitoring, Oxygen, Oxygen Saturation, pulmonary arterial pressure (PAP), Swan-Ganz catheter
Category(s): Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Digital Health
Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)
Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...
Published: 9/3/2024   |   Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal
Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems