This invention describes a system that connects a person's heart rate to things happening around them, like their environment or activities. It gathers information from various sources, including sensors and user input, and then processes the heart rate data to filter out the effects of physical activity during short transition periods, typically between 10 and 60 seconds. The goal is to find meaningful relationships between external events and the person's adjusted heart rate.
Why it matters: The statistical analysis and pattern matching described in the claims have become more efficient to implement on consumer devices due to advancements in specialized machine learning frameworks since 2023.
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