Search Results - cardiac+electrophysiology

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Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)

Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...

Published: 8/15/2025 | Inventor(s): Xiaodong Zhong, Siyue Li, Kim-Lien Nguyen

Keywords(s): acute myocardial infarction, adjustable mount, aneurysm drainage, automatic leveling, bedside decisions, blood pressure monitoring, cardiac cycle, Cardiac Electrophysiology, Cardiac failure, Cardiac Magnetic Resonance Imaging, Cardiac MRI, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular monitoring, cerebrospinal fluid (CSF) drainage, Cine MRI, clamp, critical-care, CSF drainage, Deep learning MRI, DENSE MRI, laser alignment, Left ventricular segmentation, lumbar drains, Motion analysis, MRI, multiparametric MRI (mpMRI), Myocardial strain, non-invasive cardiac monitoring, operator variability, passive reflective target, phlebostatic axis measurement, Pseudo-labeling, radial MRI, Segment Anything Model (SAM), self-leveling system, transducer alignment, Unsupervised domain adaptation (UDA)

Category(s): Medical Devices > Cardiac, Electrical > Imaging, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Therapeutics > Cardiovascular, Therapeutics > Radiology, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging

Carrier Storage Frequency Divider Using Silicon PIN Diodes (Case No. 2025-023)

Summary: Researchers in UCLA’s Department of Electrical and Computer Engineering have designed and fabricated an innovative device capable of frequency division at the Terahertz range, featuring low power consumption, quadrature outputs, and high sensitivity. Background: Traditional electronic and optical devices struggle to operate at the...

Published: 5/2/2025 | Inventor(s): Sidharth Thomas, Aydin Babakhani, Benyamin Fallahi Motlagh

Keywords(s): Analogue Electronics, Antennas/Wireless, artificial electromagnetic materials, Bandwidth (Signal Processing), Bioelectromagnetics, bioelectronics, bistable electroactive polymer, Cardiac Electrophysiology, Consumer Electronics, Continuous-Wave Radar, Digital Electronics, Digital Signal Processing, Electrical Engineering, Electroactive Polymers, Electrocatalyst, electrochemical sensors, Electrode, Electrode 3D Printing, electrodeposition, electrodes, Electroencephalography, Electroencephalography (EEG), Electroencephalography Microsecond Neurofeedback, Electrolyte, electromagnetic, Electromagnetism, Electron, electron emittance, Electron Gun, Electronics & Semiconductors, energy-efficient wireless communication, Extremely High Frequency, high-frequency signals, image signal processing, Imaging, Integrated Circuit, low-power device, Optical networks, PIN Diode, power conversion efficiency, Radar, Radar / Antennae, Remote Sensing, Semiconductor, Semiconductor Device, Semiconductors, signal decoding, Signal Processing, Silicon, Synthetic aperture radar (SAR), Wireless, wireless communication, wireless connectivity, Wireless Sensor Network, wireless spectrum

Category(s): Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Circuits, Electrical, Electrical > Wireless, Electrical > Signal Processing

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: 3/26/2025 | 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

Detection of Dicrotic Notch in Arterial Pressure and Photoplethysmography Signals Using Iterative Envelope Mean Filter (Case No. 2024-034)

Summary: UCLA Researchers in the Department of Anesthesiology have developed an iterative envelope mean (IEM) method for the detection of specific features in arterial pressure monitoring applications. Background: The cardiac cycle consists of the distinct systolic and diastolic phases. The transition from the contracted, systolic phase to the...

Published: 3/26/2025 | Inventor(s): Maxime Cannesson, Ravi Pal, Akos Rudas, Jeffrey Chiang, Sungsoo Kim

Keywords(s): arrhythmia, arterial blood pressure (ABP), cardiac cycle, Cardiac Electrophysiology, Cardiac failure, Cardiac Magnetic Resonance Imaging, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, diastolic, diastolic phase peak, dicrotic notch, feature extraction tool, iterative envelope method (IEM), Medical Device, medical device cardiac monitoring, Medical Device Poly(Methyl Methacrylate), Medical Devices and Materials, non-invasive cardiac monitoring, photoplethysmography (PPG), Smart medical device, systolic, tachycardia, wearable medical device, wearable medical devices

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

Synthetic Generation of Face Videos with Plethysmograph Physiology (Case No. 2022-231)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a method to avoid expensive clinical trials by generating synthetic face videos. Background: Healthcare providers have increased their use of virtual diagnostic tools during the COVID-19 pandemic. These tools have allowed patients to undergo basic...

Published: 7/17/2025 | Inventor(s): Achuta Kadambi, Laleh Jalilian, Zhen Wang, Yunhao Ba, Pradyumna Venkatesh Chari, Oyku Bozkurt

Keywords(s): Artificial Intelligence, Blood Pressure, Cardiac Electrophysiology, Circulatory System, Clinical Trial, Heart Rate , Remote Sensing, Surgical Instrument Optical Coherence Tomography, Telemedicine

Category(s): Software & Algorithms > Digital Health, Electrical > Imaging, Software & Algorithms > Communication & Networking, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems