Thursday, February 13, 2025
HomeTechnologyFitbits used to predict manic and depressive episodes in bipolar disorder

Fitbits used to predict manic and depressive episodes in bipolar disorder

Researchers used data collected by Fitbit bracelets to detect manic and depressive episodes in patients with bipolar disorder. This can help doctors treat patients more quickly during an episode.

Artificial intelligence is more than just a chatbot that does your homework for you. Its core strength is its ability to analyze large amounts of data and discover trends and correlations that are impossible for a human to see. Combine this capability with connected devices that collect lots of medical data, and AI can help doctors treat patients.

In an article published in the journal Scandinavian Journal of PsychologyResearchers from Brigham and Women’s Hospital Boston used data collected by Fitbits to identify and predict manic and depressive episodes in patients with epilepsy. Bipolar disorderBipolar disorder. They fitted 54 volunteers, diagnosed with bipolar disorder type 1 or 2, with Fitbit Inspire bracelets, and collected a total of 17 variables related to their activity over nine months. The bodyThe bodytheir heartbeat and their to sleepto sleep. They also asked the participants to rate themselves SymptomsSymptoms every two weeks.

Schedule episodes for faster support

After analyzing the data, the algorithm successfully predicted 89.1% of manic or hypomanic symptoms and 80.1% of depressive symptoms. The researchers found that five variables specifically predicted depressive episodes, viz DurationDuration Arousal, total sleep duration, mean sleep time, resting heart rate and percentage deep sleepdeep sleep. For manic or hypomanic episodes, the best indicators are heart rate, sleep efficiency, percentage. Contradictory sleepContradictory sleepnumber of very active minutes and average sleep time.

This study is important because it involves very basic consumer goods and very little use. DisgustingDisgusting. This can allow doctors to treat patients more quickly during an episode and better adapt treatment.

RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments