Enhanced Neural Activity Detection and Suppression System using Real-Time Ultrasound Feedback

Publication ID: 24-11857811_0006_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Neural Activity Detection and Suppression System using Real-Time Ultrasound Feedback,” Published Technical Disclosure No. 24-11857811_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857811_0006_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,811.

Summary of the Inventive Concept

An improved system for detecting and suppressing neural activity in the brain using real-time ultrasound feedback, enabling more accurate and targeted interventions for neurological disorders such as epilepsy.

Background and Problem Solved

The original patent disclosed a method for detecting and suppressing neural activity using acoustic waves and/or ultrasound. However, it had limitations in terms of real-time feedback and precision. The new inventive concept addresses these limitations by integrating a processor and ultrasonic transducers into a helmet, providing real-time feedback to the user and enabling more accurate detection and suppression of neural activity.

Detailed Description of the Inventive Concept

The new system comprises a helmet integrated with one or more ultrasonic transducers and a processor. The processor receives and analyzes data from the ultrasonic transducers to identify the location of the neural activity in the brain with a resolution on the order of a millimeter. The processor provides real-time feedback to the user and can adjust the frequency of the ultrasound energy in real-time based on the received data to optimize detection of the neural activity. The system can also be used to suppress neural activity associated with seizures. The machine learning algorithm is trained on a dataset of neural activity patterns associated with different types of seizures, enabling more accurate detection and suppression.

Novelty and Inventive Step

The new claims introduce the concept of real-time feedback and precision detection and suppression of neural activity using ultrasound energy. The integration of a processor and ultrasonic transducers into a helmet enables more accurate and targeted interventions, which is a significant improvement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of sensors or transducers, such as EEG or MEG sensors, or using different machine learning algorithms to analyze the data. The system could also be adapted for use in different applications, such as detecting neural activity in other parts of the body or in animals.

Potential Commercial Applications and Market

The enhanced neural activity detection and suppression system has significant commercial potential in the medical device industry, particularly in the field of neurology. The system could be used to diagnose and treat neurological disorders such as epilepsy, and could also have applications in fields such as neuroscience research and neurosurgery.

Original Patent Information

Patent NumberUS 11,857,811
TitleDetection, localization, and/or suppression of neural activity using acoustic waves and/or ultrasound
Assignee(s)The Board of Trustees of the Leland Stanford Junior University