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Search Results - xiaochun+li
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BASH-GN: A New Machine Learning–Derived Questionnaire for Screening Obstructive Sleep Apnea
BASH-GN is a machine learning-based questionnaire designed to classify the risk of obstructive sleep apnea (OSA) by considering various risk factor subtypes. Compared with other commonly used OSA screening tools, the BASH-GN questionnaire demonstrated superior performance, making it a more effective option for identifying at-risk individuals. This questionnaire...
Published: 9/23/2024
|
Inventor(s):
Ao Li
,
Jiayan Huo
,
Stuart Quan
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Life Sciences > Diagnostics
,
Technology Classifications > Healthcare Portfolios > Sleep Disorders
Nanotechnology-Enabled Reduction of Fusion-Induced Residual Stress in Alloys (Case No. 2024-225)
Summary: UCLA researchers in the Departments of Mechanical & Aerospace Engineering and Materials Science & Engineering have developed a novel method for stress reduction in welded alloy materials. Title: Nanotechnology-Enabled Reduction of Fusion-Induced Residual Stress in Alloys Background: Fusion welding is commonly used in manufacturing...
Published: 7/22/2024
|
Inventor(s):
Xiaochun Li
,
Narayanan Murali
Keywords(s):
Alloy
,
metal nanocomposites
,
Metal process monitoring
,
Metalation
,
Metallurgy
,
Metals
,
nanocrystalline metals
,
nanograined metals
Category(s):
Materials
,
Materials > Metals
,
Materials > Fabrication Technologies
,
Materials > Nanotechnology
A Transformer-Based Diffusion Probabilistic Model for Vital Signs Forecasting
The model proposed in this technology, Transformer-based Diffusion Probabilistic Model for Sparse Time Series Forecasting (TDSTF), is a novel deep-learning algorithm that can be used for vital signs forecasting, data synthesis, simulation, and digital twins. Trained and tested on data from over 46,000 patients, the TDSTF technology merges transformer...
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Ping Chang
,
Huayu Li
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Software & Information Technology > Web & Internet
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Medical Time Series Representation Learning, known as MTS-LOF, uses the strengths of contrastive learning and Masked Autoencoder (MAE) methods, providing more sophisticated, context-rich representations, while also clarifying the interplay between temporal and structural dependencies in healthcare data. MTS-LOF is ideal for integration into numerous...
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Huayu Li
,
Ana Carreon-Rascon
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Web & Internet
,
Technology Classifications > Software & Information Technology > Health IT
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
The DeScoD-ECG model is a novel electrocardiogram (ECG) baseline wander and noise removal technology that extends the current diffusion model for reconstructing electrocardiogram signals. It establishes a new benchmark in biomedical signal processing to provide a more accurate approximation of ECG signals for detection of cardiovascular irregularities....
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Huayu Li
,
Gregory Ditzler
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Communications & Networking
,
Technology Classifications > Software & Information Technology > Open Source
,
Technology Classifications > Healthcare Portfolios > Heart and Vascular
,
Technology Classifications > Life Sciences > Diagnostics
Deep Learning Algorithm for Detection of Cortical Arousal During Sleep
This invention is an end-to-end deep learning algorithm to detect cortical arousals during sleep using a one-night single lead electrocardiogram (ECG) signal. It is used to accurately detect arousal in home sleep tests, by reducing the false negative rate. The model combines both convolutional neural networks (CNN) and recurrent neural networks (RNN). Background: Sleep...
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Siteng Chen
,
Stuart Quan
,
Linda Powers
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Healthcare Portfolios > Sleep Disorders
,
Technology Classifications > Software & Information Technology > Health IT
Virtual Reality Neuropsychological Assessment (VRNA) System
This technology is a computerized neuropsychological assessment system to rapidly measure cognitive and behavioral abilities and impairments. This system operates by extracting multiple, simultaneous performance metrics while the patient is in a virtual reality (VR) game-like scenario. As the patient is playing this challenging VR video game, the VRNA...
Published: 8/9/2023
|
Inventor(s):
William Killgore
,
Janet Roveda
,
Jerzy Rozenblit
,
Ao Li
,
Huayu Li
Keywords(s):
Category(s):
Technology Classifications > Healthcare Portfolios > Physical Medicine & Rehabilitation
,
Technology Classifications > Medical Devices > Diagnostic
,
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Software & Information Technology > Mobile Application
,
Technology Classifications > Software & Information Technology > Bioinformatics
,
Technology Classifications > Software & Information Technology
Intelligent Multi-Beam Medium Access Control in Ku-Band for Mission-Oriented Mobile Mesh Networks
The Problem: There are existing similar technologies, but these technologies are not designed for mobile mission-oriented applications. The use of Ku-band frequency on two separate information transmission levels reduces interference common with current multi-beam antennas. Also, the Ku-band frequency is not the currently used frequency range...
Published: 2/27/2023
|
Inventor(s):
Fei Hu
,
xI Li
,
Sunil Kumar
Keywords(s):
Category(s):
Technology Classifications > Communication
2021-223 Manufacturing of Oxide-Dispersion Strengthened Alloys by Liquid Metallurgy
SUMMARY: UCLA researchers in the Department of Mechanical and Aerospace Engineering and Department of Materials Science and Engineering have developed a method for manufacturing oxide-dispersion strengthened (ODS) steel and alloys through liquid metallurgy, to achieve bulk ODS steels and other high temperature alloys with uniformly dispersed small...
Published: 7/19/2023
|
Inventor(s):
Shiqi Zheng
,
Xiaochun Li
Keywords(s):
Category(s):
Mechanical > Manufacturing
,
Materials > Metals
2022-216 Electrode for Rechargeable Batteries that Resists Dendrite Growth
Summary: UCLA researchers in the Department of Material Science and Engineering have developed electrodes for rechargeable batteries which resist dendrite growth. Background: Rechargeable batteries have attracted attention due to their wide array of applications and environmental benefits. Rechargeable metal-ion batteries, such as lithium-ion batteries,...
Published: 7/19/2023
|
Inventor(s):
Yang Yang
,
Xiaochun Li
Keywords(s):
Alloy
,
Dendrite
,
Electrode
,
Lithium Battery
,
Lithium-Ion Battery
,
Nanoelectronics
,
Nanoparticle
,
Rechargeable Battery
,
Rechargeable Battery Thermal Conductivity
Category(s):
Materials > Semiconducting Materials
,
Energy & Environment > Energy Efficiency
,
Energy & Environment > Energy Storage
,
Electrical > Electronics & Semiconductors
,
Energy & Environment > Energy Storage > Batteries
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