Listening to bipolar disorder: Smartphone app detects mood swings via voice analysis
A smartphone app that monitors subtle qualities of a person’s voice during everyday phone conversations shows promise for detecting early signs of mood changes in people with bipolar disorder, a University of Michigan team reports.
While the app still needs much testing before widespread use, early results from a small group of patients show its potential to monitor moods while protecting privacy.
The researchers hope the app will eventually give people with bipolar disorder and their health care teams an early warning of the changing moods that give the condition its name. The technology could also help people with other conditions.
"We only ask that an individual use his or her smart phone as he or she normally would," said Emily Mower Provost, assistant professor of computer science and engineering who co-led the project. "We collect speech data from the smart phone and process the data in a privacy preserving manner to learn the acoustic patterns associated with harmful mood variations."
