Search Results - electroencephalography+(eeg)

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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: 2/14/2025 | 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

Intelligent, Adaptive, and Multimodal Data-Driven Epileptogenic Zone Identification and Cognitive Function Mapping Platform (UCLA Case No. 2023-214)

Summary: UCLA researchers in the Departments of Neurology and Electrical and Computer Engineering have developed a data-driven, deep learning-powered software platform to localize epileptogenic tissues in the brain and cognitively map nearby regions. Background: According to the World Health Organization, 50 million people around the world suffer...

Published: 2/14/2025 | Inventor(s): Vwani Roychowdhury, Hiroki Nariai, Richard Staba, Yipeng Zhang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Biomonitoring, Brain Mapping, Condition monitoring, Deep Learning, Digital Health, Digital Pathology, Electroencephalography (EEG), Epilepsy, Hospital Systems And Devices, Medical Device, Medical Devices and Materials, Monitoring (Medicine), Monitoring And Recording Systems, MRI, PET, remote monitoring, Software, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems