Artificial intelligence systems for quantifying movement disorder symptoms and adjusting treatment based on symptom quantification

This invention describes a system that uses sensors to track a person's body movements during their normal daily activities, without asking them to perform specific tasks. An AI algorithm then analyzes this movement data to create a score that quantifies their movement disorder symptoms. This score can then be used to automatically or remotely adjust their therapy device settings, allowing for monitoring and treatment adjustments from home.

Why it matters: The significant advancements in artificial intelligence and machine learning since 2018 have made the development of robust neural networks for movement quantification more accessible and accurate. Furthermore, the widespread adoption of remote healthcare technologies has increased the viability of home-based monitoring and therapy adjustments.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedAI algorithm, sensor integration, remote therapy control.

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