智能手机能诊断抑郁症了？

Q-9, at the beginning of the two-week study. The PHQ-9 asks about symptoms used to diagnose depression such as sadness, loss of pleasure, hopelessness, disturbances in sleep and appetite, and difficulty concentrating. Then, Saeb developed algorithms using the GPS and phone usage data collected from the phone, and correlated the results of those GPS and phone usage algorithms with the subjects' depression test results.

Of the participants, 14 did not have any signs of depression and 14 had symptoms ranging from mild to severe depression.

The goal of the research is to passively detect depression and different levels of emotional states related to depression, Saeb said.

The information ultimately could be used to monitor people who are at risk of depression to, perhaps, offer them interventions if the sensor detected depression or to deliver the information to their clinicians.

Future Northwestern research will look at whether getting people to change those behaviors linked to depression improves their mood.

"We will see if we can reduce symptoms of depression by encouraging people to visit more locations throughout the day, have a more regular routine, spend more time in a variety of places or reduce mobile phone use," Saeb said.