A system takes measurements from a patient's body using a medical device. A connected computer then looks for specific patterns in these measurements, sorts them by importance, and shows them on a screen in a clear, organized way, with graphs and pattern details. One specific example uses an insulin pump to deliver insulin based on the measurements.
Why it matters: Filed before advanced AI/ML for time-series data was common. The pattern identification and prioritization logic is now much easier to implement with current machine learning frameworks.
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