Adaptive Bio-Potential Signal Processing System

A novel bio-potential signal processing system that integrates machine learning, neural networks, and reconfigurable amplifier topologies to optimize signal-to-noise ratio and minimize noise interference, enabling high-fidelity bio-potential signal acquisition and processing.

The original patent's active electrode design, while effective, is limited by its fixed amplifier topology and modulation frequency, which can be susceptible to flicker noise and skin-electrode impedance variations. The new inventive concept addresses these limitations by introducing adaptive signal processing and noise cancellation techniques, enabling real-time optimization of the bio-potential signal.

The system comprises a neural network-based bio-potential signal processing unit that receives an amplified bio-potential signal from an active electrode component. The unit adapts signal processing based on real-time analysis of skin-electrode impedance and noise spectrum. The active electrode component features a reconfigurable amplifier topology, dynamically adjusted based on detected noise spectrum and skin-electrode impedance to optimize signal-to-noise ratio. Additionally, the system may utilize machine learning algorithms to predict and minimize the impact of flicker noise on the bio-potential signal. The inventive concept also envisions a sensor system comprising a swarm of micro-scale active electrodes, each equipped with a local neural network-based noise cancellation unit, collectively providing a high-resolution bio-potential signal.

The new inventive concept introduces the use of machine learning, neural networks, and reconfigurable amplifier topologies to adaptively optimize bio-potential signal processing, which is not taught by the original patent. The integration of these technologies enables real-time noise cancellation and signal optimization, providing a significant improvement over the prior art.

Alternative embodiments may include using different machine learning algorithms or neural network architectures, incorporating additional sensors or signal processing units, or integrating the inventive concept with other medical devices or systems. Variations may include using the inventive concept for other types of signal processing or sensing applications.

The adaptive bio-potential signal processing system has significant commercial potential in the medical device industry, particularly in applications such as electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). The system's ability to provide high-fidelity bio-potential signals and minimize noise interference makes it an attractive solution for medical device manufacturers and researchers.