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How it Works
How it Works
ECG cai graph® makes electrocardiogram interpretation incredibly easy, and lightning fast. Even more, this is a single point of operations that seamlessly integrates all current assets, such as electrocardiographs, Holters, event monitors from various manufacturers, a hospital EHR system, and the software to help to evaluate ECG findings.
ECG cai graph® is designed to support a comprehensive, integrated, approach to service delivery while paying careful attention to the patient’s experience. The technology enables a physician’s supervision of patients at risk wherever they are.
ECG cai graph® is flexible, and can adapt to real-world practice of the pathway from an ECG acquisition to a paper report on a physician's desk; from a regular medical check-up to ambulatory cardiac monitoring during rehab.
ECG Diagnosis
ECG Diagnosis
EAI® is a feature-rich productivity tool that accelerates the interpretation of electrocardiograms. It is especially valuable in cases of prolonged or constant cardiac monitoring.
Remote Patient Monitoring
Remote Patient Monitoring
EAI® enables better health surveillance using current assets in remote, difficult, or dangerous locations. Accurate near real-time processing permits unprecedented medical support.
Digital Health
Digital Health
EAI® can be integrated into an EHR system, or be a part of mobile health device. This legally marketed, off-the-shelf, software can be tailored to fit any business requirement.
The Power of Artificial Neural Networks
The Power of Artificial Neural Networks
Interpretation of an electrocardiogram is about pattern recognition. A cascade of deep learning networks can identify very subtle patterns, which doctors themselves may hardly be aware of. For deep learning to work well, it requires big data. Therefore, the data from a ten-year population study has been used to make ECG CAI GRAPH® real. All records were initially labelled semi-automatically using the patent pending technology, and then verified by qualified and experienced cardiologists. Whereupon true labels were used to train the neural networks. Now an ECG interpretation is done with only artificial neural networks.
To achieve best results, a record should not be modified by any filter. ECG CAI GRAPH® has the prepossessing component that utilizes the benefits of neural networks for removing the high-frequency component of the signal, and providing a baseline wander correction.
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