Intelligent Respiratory Gas Monitoring System

An innovative system integrating AI, IoT, blockchain, and new materials to enhance the diagnosis and monitoring of sleep disorders through advanced respiratory gas analysis.

The original patent disclosed a physiological parameter processing apparatus for diagnosing sleep disorders. However, the apparatus had limitations in terms of data analysis, security, and real-time monitoring. The new inventive concept addresses these limitations by integrating distinct technologies to create a more powerful system.

The new system comprises a respiratory gas sensor, an AI-powered processing unit, a blockchain-based secure data storage unit, an IoT-enabled communication unit, and a notification system. The AI-powered processing unit analyzes the respiratory gas data and predicts sleep disorders. The blockchain-based secure data storage unit ensures the integrity and confidentiality of the data. The IoT-enabled communication unit enables real-time transmission of the data to a cloud-based server. The notification system alerts caregivers of potential sleep disorders. The system also incorporates new materials-based gas sensing units to detect changes in the respiratory gas.

The new claims introduce the integration of AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The inventive step lies in the synergistic combination of these technologies to create a more powerful system for diagnosing and monitoring sleep disorders.

Alternative embodiments of the system could include the use of different AI algorithms, varying blockchain protocols, or distinct IoT communication protocols. Variations could also include the integration of additional sensors or the use of different materials for gas sensing.

The Intelligent Respiratory Gas Monitoring System has significant commercial potential in the healthcare industry, particularly in the diagnosis and treatment of sleep disorders. The system could be marketed to hospitals, clinics, and healthcare providers, offering a more accurate and efficient solution for respiratory gas analysis.