Synergistic Neural Activity Detection and Suppression System
Legal Citation
Summary of the Inventive Concept
A novel system integrating acoustic waves, AI, IoT, blockchain, and new materials to detect, localize, and suppress neural activity, enhancing the accuracy and efficiency of epilepsy seizure detection and treatment.
Background and Problem Solved
The original patent disclosed the use of acoustic waves to detect and suppress brain swelling, but it had limitations in terms of data analysis, storage, and transmission. The new inventive concept addresses these limitations by incorporating AI, IoT, blockchain, and new materials to create a more powerful and secure system for neural activity detection and suppression.
Detailed Description of the Inventive Concept
The system comprises a wearable device with a neural activity sensor, an AI-powered processor, and a blockchain-based data storage unit. The sensor data is analyzed using machine learning algorithms to identify the location of the neural activity with high resolution. The system also includes IoT-enabled ultrasound transducers that apply acoustic waves to the brain to suppress the neural activity. The new material-based energy harvesting unit powers the wearable device, ensuring continuous operation.
Novelty and Inventive Step
The new claims introduce the integration of AI, IoT, blockchain, and new materials to the original patent's concept, providing a novel and non-obvious solution for neural activity detection and suppression. The use of blockchain for secure data storage and transmission, and the incorporation of new materials for energy harvesting, are particularly innovative and distinguish the new inventive concept from the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the system could include the use of different types of sensors, such as EEG or MEG, or the integration of other technologies, such as augmented reality or 5G networks. Variations of the system could also include different types of wearable devices, such as smartwatches or headbands, or different modes of operation, such as real-time or offline analysis.
Potential Commercial Applications and Market
The synergistic neural activity detection and suppression system has significant commercial potential in the healthcare industry, particularly in the areas of epilepsy treatment and brain-computer interfaces. The system's ability to provide accurate and efficient detection and suppression of neural activity could lead to improved patient outcomes and reduced healthcare costs. The market for this technology is expected to grow significantly in the coming years, driven by increasing demand for innovative healthcare solutions.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Neurotechnology and medical device systems focusing on neural activity detection, localization, and suppression, particularly for neurological conditions like epilepsy. Requires expertise in biomedical engineering, signal processing, ultrasound technology, and wearable medical device design
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degrees in biomedical engineering or neuroscience, experienced in developing medical monitoring technologies, familiar with signal processing algorithms, ultrasound techniques, and wearable sensor integration
Obviousness Rationale
A person having ordinary skill would recognize that integrating AI, IoT, and blockchain technologies with the source patent's core ultrasound neural activity suppression method represents a predictable technological evolution. The fundamental mechanism of detecting and suppressing neural activity remains consistent, with the PTD merely applying contemporary computational and communication technologies to enhance the original invention's functionality and data management capabilities.
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 |