Neurophysiological Monitoring and Brain-Computer Interface Systems
Legal Citation
Summary of the Inventive Concept
A next-generation neurophysiological monitoring system that integrates artificial intelligence, machine learning, and virtual reality to provide real-time seizure prediction, personalized neurofeedback training, and immersive brain-computer interface experiences.
Background and Problem Solved
The original patent's EEG monitoring system, while innovative, has limitations in terms of data analysis, user experience, and potential applications. The new inventive concept addresses these limitations by incorporating AI, ML, and VR capabilities to provide a more comprehensive and user-friendly system.
Detailed Description of the Inventive Concept
The neurophysiological monitoring system comprises a plurality of wearable EEG sensors, an artificial intelligence module for real-time seizure prediction, a machine learning module for personalized neurofeedback training, and a virtual reality interface for immersive user experiences. The system enables simultaneous measurement of brain activity and cardiovascular parameters, and provides remote monitoring and data visualization capabilities through a cloud-based analytics platform.
Novelty and Inventive Step
The new claims introduce a paradigm shift in EEG monitoring by integrating AI, ML, and VR capabilities, which are not present in the original patent. The inventive concept's novelty lies in its ability to provide real-time seizure prediction, personalized neurofeedback training, and immersive BCI experiences, making it a significant advancement over the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different AI algorithms, ML models, or VR interfaces. Variations could include the integration of additional sensors, such as electromyography (EMG) or electrooculography (EOG), to provide a more comprehensive understanding of brain activity and its correlation with other physiological parameters.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the healthcare, gaming, and education industries. Potential applications include seizure prediction and prevention, personalized neurofeedback training for mental health, and immersive BCI experiences for gaming and entertainment. The target market includes hospitals, clinics, and research institutions, as well as individual consumers and gamers.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Neurophysiological monitoring systems, specifically wireless EEG sensor technologies with a focus on wearable brain activity measurement devices
Person of Ordinary Skill (PHOSITA) Profile
An electrical engineer or biomedical engineer with expertise in sensor design, signal processing, embedded systems, and neural monitoring technologies, typically holding a master's degree with 3-5 years of experience in medical device development
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating artificial intelligence, machine learning, and virtual reality interfaces with existing wireless EEG sensor technologies represents a predictable extension of the foundational monitoring system disclosed in the source patent. The core sensor technology remains fundamentally consistent, with the primary innovation being the addition of advanced data processing and interactive capabilities. These technological enhancements would be considered straightforward implementations using standard techniques in neural monitoring and digital health technologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,330 |
|---|---|
| Title | Systems and methods for electroencephalogram monitoring |
| Assignee(s) | Epitel, Inc. |