Adaptive System for Multidisciplinary Applications
Legal Citation
Summary of the Inventive Concept
A versatile system leveraging the core technology of the original sleep diagnostic and therapeutic system to tackle diverse challenges in agriculture, energy efficiency, athletics, cybersecurity, and mental health.
Background and Problem Solved
The original patent addressed the pressing issue of chronic sleep disorders, but its innovative approach can be repurposed to tackle other complex problems. This inventive concept adapts the integrated sleep diagnostic and therapeutic system to address unmet needs in various industries, demonstrating its potential for far-reaching impact.
Detailed Description of the Inventive Concept
The system comprises a sensor network, machine learning model, and adaptive algorithms to collect and analyze real-time data, providing actionable insights for diverse applications. For instance, in agriculture, the system predicts crop yield and provides personalized recommendations for optimal growth and pest management. In energy efficiency, it monitors and analyzes occupant sleep patterns to adjust HVAC and lighting systems accordingly. Similarly, the system can be used to track and manage stress levels in athletes, detect and prevent cyber attacks, and improve mental health outcomes in remote communities.
Novelty and Inventive Step
The new claims introduce novel applications and use cases for the core technology, expanding its scope beyond sleep disorders to tackle complex problems in various industries. The inventive step lies in the adaptation of the original system's components and algorithms to address these new challenges, demonstrating a non-obvious and innovative approach.
Alternative Embodiments and Variations
Alternative embodiments may include modifying the sensor network to accommodate specific industry requirements, developing new machine learning models tailored to individual applications, or integrating the system with existing infrastructure and technologies. Variations may also involve using different types of sensors, adapting the system for use in various environments, or developing new user interfaces for diverse stakeholders.
Potential Commercial Applications and Market
This inventive concept has vast commercial potential across multiple industries, including agriculture, energy efficiency, athletics, cybersecurity, and mental health. The system's adaptability and versatility make it an attractive solution for companies seeking innovative approaches to complex problems, with a potential market size exceeding billions of dollars.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biomedical engineering, medical diagnostics, and sensor-based monitoring systems with a focus on physiological data collection, wireless communication, and adaptive health technologies
Person of Ordinary Skill (PHOSITA) Profile
A professional with a graduate degree in biomedical engineering or related field, experienced in sensor design, data acquisition systems, wireless communication protocols, and machine learning applications for healthcare monitoring
Obviousness Rationale
A PHOSITA would recognize that the core technical architecture of the sleep diagnostic system - involving sensor networks, wireless data transmission, and adaptive algorithms - can be readily extended to other domains by substituting domain-specific sensors and modifying the machine learning model while maintaining the fundamental system structure. The modular design of the original patent inherently suggests broad applicability across different monitoring and diagnostic contexts. The technical challenges of adapting the system to new domains would be considered routine engineering design variations within the skill set of an ordinary practitioner.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,333 |
|---|---|
| Title | Integrated sleep diagnostic and therapeutic system and method |
| Assignee(s) | Cleveland Medical Devices Inc. |