Search Results - medical+devices+%3e+monitoring+and+recording+systems

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An Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning (Case No. 2024-260)

Summary: UCLA researchers in the Department of Electrical & Computer Engineering have developed a new phosphorescence lifetime imaging (PLI) and deep learning based continuous glucose monitoring platform with improved accuracy. Background: Glucose is a biomarker for diabetes, a chronic disease that affects over 450 million people globally....

Published: 10/22/2024 | Inventor(s): Aydogan Ozcan, Zoltan Gorocs, Artem Goncharov, Ridhi Pradhan, Brian Ko, Michael McShane

Keywords(s): Blood Glucose Monitoring, chronic diabetes management, continuous glucose monitoring (CGM), diabetes and obesity, diabetes management and monitoring, disease multiplexing, Glucose, glucose intolerance, insulin pump, type 1 and 2 diabetes

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Electrical, Electrical > Sensors

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

System for Tissue Identification During Robotic Surgery (Case No. 2020-822)

Summary: UCLA researchers in the Departments of Urology and Electrical and Computer Engineering have developed a smart haptic feedback invention to restore the sense of touch in robot-assisted surgical procedures. Background: Robot-assisted surgeries have seen significant growth in adoption, with approximately 99,000 procedures performed annually—a...

Published: 10/23/2024 | Inventor(s): Erik Dutson, Rory Geoghegan, Robert Candler, Songping Sun, Jake Pensa, Ahmad Abiri

Keywords(s):

Category(s): Medical Devices, Medical Devices > Surgical Tools, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems

System and Methods for Fluidic Control in Ophthalmic Procedures (Case No. 2024-229)

Summary: Researchers in the Mechanical Engineering Department at UCLA developed an innovative mechatronic system that can perform fast and accurate pressure regulation during cataract surgeries. Background: Despite being generally safe and successful, cataract surgery has a complication rate of about 6%, which is concerning given the high volume...

Published: 10/31/2024 | Inventor(s): Tsu-Chin Tsao, Yu-Ting (Kevin) Lai, Aya Barzelay

Keywords(s): biomedical sensors, Intraocular Lens , Ophthalmology, Robotic Surgery

Category(s): Mechanical > Instrumentation, Medical Devices > Hospital Systems, Medical Devices > Surgical Tools, Medical Devices > Monitoring And Recording Systems, Therapeutics > Ophthalmology

Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 9/30/2024 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

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

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)

Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for acute myocardial infarction. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...

Published: 11/13/2024 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyou-Arm Joung, Dino Di Carlo

Keywords(s): acute myocardial infarction, Assay, Bioassay, biological assays, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, deep-learning analysis algorithms, Flow Device, heart disease mitigation, high-sensitivity cardiac troponin I, Immunoassay, Laminar flow, nanoparticle amplification chemistry, point-of-care testing, Targets And Assays, vertical flow assay

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms, Platforms > Diagnostic Platform Technologies, Diagnostic Markers, Diagnostic Markers > Targets And Assays

Resting-State Functional Magnetic Resonance Imaging Derived From Dynamic Perfusion Imaging (Case No. 2023-126)

Intro Sentence: UCLA researchers in the Department of Radiology have developed a novel method for obtaining simultaneous perfusion and functional MRI data from a single MRI acquisition to improve the diagnosis, monitoring, and management of brain tumors and stroke. Background: Advanced magnetic resonance imaging (MRI) techniques are crucial for...

Published: 10/23/2024 | Inventor(s): Benjamin Ellingson, Nicholas Cho, Chencai Wang

Keywords(s):

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Medical Devices > Monitoring And Recording Systems

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