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A Dual-Mode Coil-Reuse Data Acquisition System for Miniaturized Wirelessly Powered Biopotential Sensing Nodes (Case No. 2024-173)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a dual-mode, batteryless coil-reuse system for biosensing devices that enables efficient wireless power transfer and long-range data transmission in a compact form. Background: A vast majority of wearable and implantable medical devices require two wireless...
Published: 4/23/2025
|
Inventor(s):
Aydin Babakhani
,
Hamid Jafarisharemi
Keywords(s):
Antennas/Wireless
,
battery-less
,
battery-less IoT
,
Bioelectromagnetics
,
bioelectronics
,
Bioinformatics
,
bioinformatics pipeline
,
Biomedical Engineering
,
biomedical implantation
,
biomedical sensors
,
Biomonitoring
,
Biosensor
,
Cardiac failure
,
coil design
,
Data Acquisition
,
Data Analytics
,
Electrical stimulation
,
electrochemical sensors
,
implantable sensors
,
low-power architecture
,
low-power device
,
medical device cardiac monitoring
,
Medical Devices and Materials
,
node architecture
,
non-invasive cardiac monitoring
,
radiofrequency (RF) coil
,
radiofrequency signaling
,
Rechargeable Battery
,
self-powered wireless sensor solutions
,
Sensor
,
Sensors
,
Smart Antenna
,
soft electrical circuits
,
wearable
,
wearable electronics
,
wearable medical device
,
wearable medical devices
,
wearable sensors
Category(s):
Electrical
,
Electrical > Flexible Electronics
,
Electrical > Sensors
,
Electrical > Wireless
,
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
IMARISMITCHER: Batch Processing for Imaris Stitcher (Case No. 2025-089)
Summary: Researchers in UCLA’s Department of Neurobiology have devised a novel software algorithm to significantly increase the speed of ImarisStitcher image processing, resulting in readily available, combined, aligned, high resolution microscopic images. Background: Image stitching has emerged as a solution to the unique need for a complete...
Published: 4/22/2025
|
Inventor(s):
Ian Bowman
,
Mitchell Rudd
,
Hong Wei Dong
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
bioimaging
,
Cell Counting/Imaging
,
cell imaging
,
cell mapping
,
computational imaging
,
Data Acquisition
,
Data Aggregator
,
Data Analytics
,
Data Recovery
,
Data Structure
,
Fluorescence Microscope
,
histopathology images
,
Image Analysis
,
image restoration
,
image signal processing
,
Imaging
,
Magnetic Resonance Imaging
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
Neuroimaging
,
non-invasive imaging
,
pathology image analysis
,
Phase-Contrast Imaging
,
three dimensional imaging
,
volumetric image
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing