Active Electrode System with AI-Enhanced Noise Reduction and IoT-Enabled Real-Time Monitoring

An innovative system integrating an active electrode with chopper modulation, AI-powered noise reduction, and IoT-enabled data transmission for real-time monitoring of bio-potential signals, enhancing signal quality and enabling advanced analytics.

The original patent described an active electrode component with chopper modulation, which addressed capacitive coupled noise and capacitive load issues. However, the invention had limitations in terms of noise reduction and real-time data transmission. The new inventive concept addresses these limitations by synergistically combining the active electrode with AI-powered noise reduction and IoT-enabled data transmission, providing a more robust and efficient system for bio-potential signal sensing.

The system comprises an active electrode component with chopper modulation, an AI-powered noise reduction algorithm, and an IoT-enabled data transmission module. The AI-powered noise reduction algorithm dynamically adjusts the modulation frequency based on real-time noise analysis, ensuring optimal signal quality. The IoT-enabled data transmission module enables real-time monitoring of bio-potential signals, facilitating advanced analytics and predictive modeling. The system can be integrated with novel material-based electrode designs for enhanced bio-potential signal sensing and blockchain-based data storage modules for secure and transparent data management.

The new inventive concept introduces the synergistic combination of AI-powered noise reduction and IoT-enabled data transmission with the active electrode component, providing a non-obvious solution that significantly enhances signal quality and enables advanced analytics. The dynamic adjustment of the modulation frequency based on real-time noise analysis and the integration of IoT-enabled data transmission are novel and non-obvious features that distinguish the new inventive concept from the original patent.

Alternative embodiments of the inventive concept could include the use of different AI-powered noise reduction algorithms, such as deep learning-based approaches, or the integration of additional sensors for multi-modal signal sensing. Variations of the system could also include the use of different IoT-enabled data transmission protocols or the integration of blockchain-based data storage modules for secure and transparent data management.

The inventive concept has significant commercial potential in the healthcare and biomedical industries, particularly in applications such as wearable devices for real-time bio-potential signal monitoring, predictive analytics for personalized medicine, and secure data management for clinical trials. The system's ability to provide high-quality bio-potential signals and enable advanced analytics makes it an attractive solution for companies developing healthcare and biomedical technologies.