Cardiovascular Business January 25, 2024
Unveiling wearable activity tracker insights through AI
Ideally, the numbers of steps should go up over the course of time, but researchers found the AI could identify different exercise patterns to better classify the types of activity and compliance each patient had. These fell into into four specific groups.
“For example, what we saw was that while around 32 of 75 individuals that we analyzed did show an increased incline showing improvement, we also found roughly around 20% of the participants whose physical activity was kind of steady,” Barua said. They also saw groups that started out with a decrease and then an increase in activity, and another where they started out strong and then activity decreased.
He...
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