Camera-Based Signal Digitization for Faster ECG Analysis

The patent replaces manual mechanical analysis by specialists with an automated image processing and machine learning system. The camera captures the signal image, and the computing device automatically processes it through trained models to extract diagnostic features, substituting human manual interpretation with automated computational analysis.

The patent creates a digital copy of the physical signal through camera imaging. The camera captures the visual representation of the medical signal (such as ECG on paper), converting it into a digital image that can be processed computationally without requiring the original physical signal or specialist presence.

The patent applies preliminary action by pre-training machine learning models with large datasets of medical signals and their corresponding diagnoses before deployment. The models are prepared in advance with learned knowledge patterns, enabling them to accurately interpret new signals without requiring real-time specialist intervention while maintaining diagnostic precision.

The system incorporates feedback mechanisms where the machine learning model's interpretations can be reviewed and corrected by specialists when available, and these corrections are used to refine and improve the model's accuracy over time, ensuring measurement precision is maintained or enhanced.