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.

Field of Art

Biomedical engineering, neurotechnology, and medical device design with a focus on non-invasive neural activity detection and modulation techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or neurotechnologist with advanced degree, expertise in ultrasound technologies, neural signal processing, and medical device integration, familiar with brain-computer interfaces and neurological disorder management

Obviousness Rationale

A PHOSITA would recognize that adding real-time feedback and machine learning to the existing ultrasound-based neural activity detection system represents a predictable technological improvement. The core mechanism of using ultrasonic transducers for neural activity localization remains consistent, with the PTD introducing incremental enhancements in data processing and system responsiveness. These modifications represent standard engineering approaches to improving medical diagnostic and intervention technologies.

Obvious Combinations & Variations

Source Patent Element
Ultrasonic transducers integrated with a helmet for detecting neural activity
PTD Variation
Adding real-time processor feedback and dynamic frequency adjustment
Obviousness Reasoning
Implementing adaptive signal processing is a known technique in medical imaging, representing a predictable optimization of existing detection methods
Source Patent Element
Neural activity detection with millimeter-scale resolution
PTD Variation
Incorporating machine learning algorithms trained on seizure activity datasets
Obviousness Reasoning
Applying machine learning to improve diagnostic accuracy is a standard approach in medical signal processing, offering incremental performance enhancement
Source Patent Element
Seizure-associated neural activity suppression
PTD Variation
Targeted ultrasound energy application based on precise neural location tracking
Obviousness Reasoning
Precision targeting represents a logical extension of existing detection capabilities, utilizing known signal localization techniques
Source Patent Element
Non-invasive neural activity monitoring system
PTD Variation
Expanding sensor integration to include alternative modalities like EEG or MEG
Obviousness Reasoning
Multimodal sensing is a common approach in medical diagnostics, representing a predictable design variation for improved data collection
Source Patent Element
Helmet-integrated ultrasonic transducer system
PTD Variation
Adding computational intelligence for real-time neural activity interpretation
Obviousness Reasoning
Integrating computational intelligence into medical devices is a standard engineering approach for enhancing diagnostic capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857811, a person having ordinary skill in the art would find the variations disclosed in this published technical disclosure obvious, as they represent predictable technological improvements utilizing standard engineering techniques in neural activity detection and suppression technologies. The incremental enhancements in real-time processing, machine learning integration, and adaptive ultrasound energy application would be readily conceived by a skilled practitioner without requiring inventive insight beyond the existing technological framework.

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