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The PRIORI App Predicts Moodswings Associated with Bipolar Disorder

By: Rahul Kalvapalle - Published: • References: uofmhealth.org & gizmag
Researchers at the University of Michigan developed the PRIORI app to help detect moodswings associated with bipolar disorder, a condition where patients swing between depressive and manic states that can lead to dangerous behavior. The Android app listens to patients' phone conversations and uses voice cues to look for signs of upcoming moodswings.

The PRIORI app constantly runs in the background on the patient's smartphone and records all incoming and outbound calls. It analyzes the patient's voice and looks for subtle speech pattern changes that are known to be associated with the onset of depressive or manic episodes.

Before patients can use the app, a baseline must be set which establishes the patient's average, 'normal' mood. The phone uses this baseline as a benchmark around which moodswings occur. This means that the longer the app is used by the patient, the better it is able to predict their moodswings.

Once these patterns are detected, the patient and their caregivers can be alerted to that preventive and precautionary measures can be taken. Stats for Moodswing-Detecting Apps Trending: This Year & Warm
Traction: 565 clicks in 31 w
Interest: 0.5 minutes
Concept: PRIORI App
Related: 65 examples / 50 photos
Segment: Neutral, 18-55+
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