Enhanced Neural Activity Detection and Suppression System using Synergistic Combinations
Legal Citation
Summary of the Inventive Concept
The present inventive concept integrates acoustic waves and/or ultrasound with distinct technologies such as AI, IoT, blockchain, and new materials to create a more powerful system for detecting, localizing, and suppressing neural activity, particularly in epilepsy treatment.
Background and Problem Solved
The original patent disclosed a method for detecting, localizing, and suppressing neural activity using acoustic waves and/or ultrasound. However, the method had limitations in terms of detection accuracy, real-time feedback, and secure data storage. The present inventive concept addresses these limitations by incorporating synergistic combinations of technologies to enhance the system's overall performance.
Detailed Description of the Inventive Concept
The enhanced system comprises multiple modules, including a neural activity detection module integrated with an AI-powered seizure prediction algorithm, a real-time feedback mechanism, and an IoT-enabled communication module for transmitting neural activity data to a cloud-based server. Additionally, the system incorporates a novel graphene-based ultrasonic transducer and a blockchain-based system for securely storing and sharing neural activity data. The system also enables synergistic combinations of ultrasound and transcranial magnetic stimulation (TMS) to enhance suppression of neural activity.
Novelty and Inventive Step
The present inventive concept introduces novel combinations of technologies, including AI-powered seizure prediction, IoT-enabled communication, blockchain-based secure data storage, and graphene-based ultrasonic transducers, which provide a significant improvement over the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful and efficient system for detecting, localizing, and suppressing neural activity.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept may include variations in the AI-powered seizure prediction algorithm, the type of blockchain-based system used, or the materials used for the ultrasonic transducers. Additionally, the system could be integrated with other technologies such as machine learning or computer vision to further enhance its performance.
Potential Commercial Applications and Market
The enhanced system has significant commercial potential in the medical device industry, particularly in the treatment of epilepsy and other neurological disorders. The system's ability to provide real-time feedback and secure data storage makes it an attractive solution for healthcare providers and patients. The market for such a system is substantial, with an estimated value of billions of dollars.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Neurotechnology and medical signal processing, with expertise in non-invasive neural activity detection and suppression techniques, particularly for neurological disorders like epilepsy
Person of Ordinary Skill (PHOSITA) Profile
A professional with advanced degrees in biomedical engineering, electrical engineering, or neuroscience, possessing knowledge of signal processing, ultrasound technologies, and neural monitoring systems
Obviousness Rationale
A PHOSITA would recognize that integrating additional technologies like AI, IoT, and blockchain with the source patent's ultrasound-based neural activity detection represents predictable combinations of known techniques in the neurological monitoring domain. The fundamental approach of using acoustic waves to detect and suppress neural activity remains consistent, with the PTD merely adding complementary technological enhancements. These variations represent standard engineering approaches to improving existing medical monitoring technologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,811 |
|---|---|
| Title | Detection, 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 |