Systems and methods for remote patient monitoring and event detection

A system monitors a patient remotely by receiving signals from a sensor. A computer uses a trained machine learning model to interpret these signals and identify a patient's condition. If an emergency is detected, an alert is sent, potentially to a healthcare provider or family, and can include location or health information.

Why it matters: Machine learning models for real-time sensor data analysis have advanced significantly since 2017. This, combined with improved low-power wireless communication, makes robust remote monitoring more feasible.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning model, sensor integration, software logic

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