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Researchers tap wearable data for mental health boost

Summary by Mobile World Live

South Korean researchers developed a prediction algorithm they believe could significantly influence the treatment of depression by more accurately predicting mood changes using data from smart bands and phones. The Korea University College of Medicine staff say their algorithm can predict mood swings to an accuracy rate of 98 per cent using data relating to sleep and time spent awake. In a statement, the team noted wearable devices hold promise…

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EEJournal

KUCM Researchers Use Wearable Tech to Predict Mood Swings with 98% Accuracy

Patients with mood disorders experience recurrences of depressive and manic episodes throughout their lives. In this regard, researchers from the Korea University College of Medicine have come up with a novel prediction algorithm that effectively forecasts future episodes with high accuracy by leveraging sleep-wake data collected using a smartphone and smart band. This could help patients with mood disorders prevent such recurrences by adjusting…

4 days ago

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