Synergistic Brain Activity Monitoring Systems

Publication ID: 24-11857330_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Brain Activity Monitoring Systems,” Published Technical Disclosure No. 24-11857330_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857330_0008_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. 11,857,330.

Summary of the Inventive Concept

Integrating advanced technologies like AI, IoT, blockchain, and novel materials with wireless electroencephalogram sensors to create a more powerful, secure, and personalized brain activity monitoring system.

Background and Problem Solved

The original patent for wireless electroencephalogram sensors has limitations in terms of real-time analysis, data security, and signal quality. The new inventive concept addresses these limitations by combining the patented technology with distinct technologies to create a more comprehensive and effective system.

Detailed Description of the Inventive Concept

The new system comprises wearable sensors with AI-powered modules for real-time analysis of EEG data and detection of anomalies. The system is integrated with an IoT network for remote monitoring and real-time feedback, ensuring timely interventions. A blockchain-based data storage module ensures secure and decentralized storage of EEG data. The wearable sensors utilize novel materials with improved conductivity and durability for enhanced EEG signal quality. Machine learning algorithms are integrated into the system for personalized analysis and prediction of brain activity patterns.

Novelty and Inventive Step

The new claims introduce novel combinations of AI, IoT, blockchain, and novel materials with wireless electroencephalogram sensors, providing a synergistic system that offers improved real-time analysis, data security, and signal quality. These combinations are non-obvious and provide a significant advancement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments could include integrating the system with virtual or augmented reality platforms for immersive therapy, using edge computing for faster data processing, or incorporating other biometric sensors for a more comprehensive health monitoring system.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the healthcare and wellness industries, particularly in the areas of neurology, psychology, and sports medicine. The system could be marketed as a premium product for hospitals, clinics, and research institutions, or as a consumer-facing product for individuals interested in brain health and performance optimization.

Field of Art

Biomedical engineering and neurological monitoring technologies, specifically wireless EEG sensor systems with expertise in sensor design, signal processing, and wearable medical device integration

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or electrical engineer with advanced degree, 3-5 years experience in medical device design, familiar with wireless sensor technologies, signal processing algorithms, and emerging medical monitoring techniques

Obviousness Rationale

A PHOSITA would recognize that integrating AI, IoT, and blockchain technologies with existing wireless EEG sensor systems represents a predictable technological evolution. The core functionality of brain activity monitoring remains consistent with the source patent, while the proposed variations represent standard technological augmentations using well-known techniques in medical device engineering. The modifications introduce incremental improvements that would be apparent to a skilled practitioner seeking to enhance existing EEG monitoring technologies.

Obvious Combinations & Variations

Source Patent Element
Wireless wearable sensors for brain activity monitoring
PTD Variation
Adding AI-powered real-time analysis module to sensors
Obviousness Reasoning
Integration of machine learning with sensor data is a known technique in medical monitoring, representing a predictable application of existing computational technologies to improve diagnostic capabilities
Source Patent Element
Wearable sensor with specific housing design for user comfort
PTD Variation
Incorporating novel materials with improved conductivity
Obviousness Reasoning
Material science improvements to sensor design are a standard approach for enhancing signal quality, representing an obvious design optimization for medical sensing technologies
Source Patent Element
Wireless EEG sensor system with power management
PTD Variation
IoT network integration for remote monitoring and feedback
Obviousness Reasoning
Extending wireless sensor systems to networked monitoring is a predictable technological progression, utilizing standard communication protocols and existing infrastructure
Source Patent Element
Electronic system for recording brain activity
PTD Variation
Blockchain-based secure data storage module
Obviousness Reasoning
Implementing advanced data security techniques is an obvious solution for medical data management, representing a standard approach to addressing privacy and data protection concerns
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857330 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed system modifications obvious and predictable. The incremental technological enhancements represent standard engineering approaches to improving medical monitoring technologies, and therefore would not constitute a non-obvious invention under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,330
TitleSystems and methods for electroencephalogram monitoring
Assignee(s)Epitel, Inc.