Intelligent Respiratory Health Monitoring System
Legal Citation
Summary of the Inventive Concept
The present invention integrates cutting-edge technologies such as machine learning, blockchain, IoT, and natural language processing to create a comprehensive respiratory health monitoring system that provides accurate diagnoses and personalized health reports.
Background and Problem Solved
The original patent disclosed a physiological parameter processing apparatus that analyzed respiration data for diagnosing sleep disorders. However, it lacked the ability to leverage advanced technologies to provide more accurate and personalized health monitoring. The present invention addresses this limitation by synergistically combining the patented inventive concept with AI, IoT, blockchain, and new materials to create a more powerful system.
Detailed Description of the Inventive Concept
The system comprises a respiratory gas sensor, a processor, and a display. The processor is configured to analyze the respiratory gas data using machine learning algorithms and generate a prediction model for apnea, hypopnea, and upper airway occlusion. The system can also integrate with wearable devices, cloud-based servers, and IoT-enabled machine learning algorithms to provide a comprehensive health monitoring solution. Additionally, the system can utilize natural language processing algorithms to generate voice-based notifications and blockchain-secured artificial intelligence algorithms to ensure data integrity and security.
Novelty and Inventive Step
The present invention's novelty lies in the synergistic integration of advanced technologies with the patented inventive concept, providing a more accurate and personalized health monitoring system. The inventive step is the application of machine learning, blockchain, IoT, and natural language processing to create a comprehensive respiratory health monitoring system.
Alternative Embodiments and Variations
Alternative embodiments of the system could include integrating with other sensors, such as pulse oximeters or electrocardiograms, to provide a more comprehensive health monitoring solution. Variations could include using different machine learning algorithms or blockchain protocols to ensure data security and integrity.
Potential Commercial Applications and Market
The present invention has significant commercial potential in the healthcare industry, particularly in the areas of respiratory health monitoring, sleep disorder diagnosis, and personalized health reporting. The system could be marketed to healthcare providers, insurance companies, and individuals seeking advanced health monitoring solutions.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device technology, specifically respiratory monitoring systems and physiological parameter processing apparatus, requiring expertise in biomedical engineering, sensor technologies, signal processing, and medical diagnostic algorithms
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with advanced degree, experience in medical sensor design, signal processing techniques, machine learning applications in healthcare, and familiarity with respiratory monitoring technologies
Obviousness Rationale
A PHOSITA would recognize that integrating advanced computational techniques like machine learning, IoT, and blockchain with existing respiratory monitoring technologies represents a predictable technological evolution. The source patent establishes a foundational respiratory data processing apparatus, which naturally invites enhancement through contemporary computational methodologies. The disclosed variations represent straightforward technological extensions that would be apparent to a skilled practitioner seeking to improve diagnostic capabilities and data management in respiratory health monitoring.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,310 |
|---|---|
| Title | Physiological parameter processing apparatus |
| Assignee(s) | NIHON KOHDEN CORPORATION |