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Telepon Anda tahu jika Anda depresi

Waktu yang dihabiskan untuk smartphone , sensor data lokasi GPS  mendeteksi depresi

Date:

July 15, 2015

Source:

Northwestern University

Summary:

Sebuah studi baru melaporkan, Depresi dapat dideteksi dari sensor data ponsel cerdas Anda dengan melacak jumlah menit Anda menggunakan telepon dan lokasi geografis harian Anda ,  . Semakin banyak waktu yang Anda habiskan menggunakan ponsel Anda , semakin besar kemungkinan Anda mengalami depresi . Menghabiskan sebagian besar waktu Anda di rumah dan sebagian besar waktu Anda di lokasi yang lebih kecil juga terkait dengan depresi . Penelitian ini dapat menyebabkan pemantauan orang berisiko depresi dan memungkinkan penyedia layanan kesehatan untuk campur tangan .

......... Semakin banyak waktu yang Anda habiskan menggunakan ponsel Anda , semakin besar kemungkinan Anda mengalami depresi . Penggunaan harian rata-rata untuk individu depresi adalah sekitar 68 menit , sedangkan untuk individu non - depresi itu sekitar 17 menit .....more

Your phone knows
if you're depressed

Time spent on smartphone, GPS location sensor data detect depression

Date:

July 15, 2015

Source:

Northwestern University

Summary:

Depression can be detected from your smartphone sensor data by tracking the
number of minutes you use the phone and your daily geographical locations,
reports a new study. The more time you spend using your phone, the more likely
you are depressed. Spending most of your time at home and most of your time in
fewer locations also are linked to depression. The research could lead to
monitoring people at risk of depression and enabling health care providers to
intervene.

.........................

You can fake a smile, but your phone knows the truth. Depression can be
detected from your smartphone sensor data by tracking the number of minutes you
use the phone and your daily geographical locations, reports a small
Northwestern Medicine study.

The more time you spend using your phone, the more likely you are
depressed. The average daily usage for depressed individuals was about 68
minutes, while for non-depressed individuals it was about 17 minutes.

Spending most of your time at home and most of your time in fewer locations
-- as measured by GPS tracking -- also are linked to depression. And, having a
less regular day-to-day schedule, leaving your house and going to work at
different times each day, for example, also is linked to depression.

Based on the phone sensor data, Northwestern scientists could identify
people with depressive symptoms with 87 percent accuracy.

"The significance of this is we can detect if a person has depressive
symptoms and the severity of those symptoms without asking them any
questions," said senior author David Mohr, director of the Center for
Behavioral Intervention Technologies at Northwestern University Feinberg School
of Medicine. "We now have an objective measure of behavior related to
depression. And we're detecting it passively. Phones can provide data
unobtrusively and with no effort on the part of the user."

The research could ultimately lead to monitoring people at risk of
depression and enabling health care providers to intervene more quickly.

The study will be published July 15 in the Journal of Medical
Internet Research.

The smart phone data was more reliable in detecting depression than daily
questions participants answered about how sad they were feeling on a scale of 1
to 10. Their answers may be rote and often are not reliable, said lead author
Sohrob Saeb, a postdoctoral fellow and computer scientist in preventive
medicine at Feinberg.

"The data showing depressed people tended not to go many places
reflects the loss of motivation seen in depression," said Mohr, who is a
clinical psychologist and professor of preventive medicine at Feinberg.
"When people are depressed, they tend to withdraw and don't have the
motivation or energy to go out and do things."

While the phone usage data didn't identify how people were using their
phones, Mohr suspects people who spent the most time on them were surfing the
web or playing games, rather than talking to friends.

"People are likely, when on their phones, to avoid thinking about
things that are troubling, painful feelings or difficult relationships,"
Mohr said. "It's an avoidance behavior we see in depression."

Saeb analyzed the GPS locations and phone usage for 28 individuals (20
females and eight males, average age of 29) over two weeks. The sensor tracked
GPS locations every five minutes.

To determine the relationship between phone usage and geographical location
and depression, the subjects took a widely used standardized questionnaire
measuring depression, the PHQ-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.







Story Source:

The above post is reprinted from materials provided byNorthwestern
University. The original item was written by Marla Paul. Note: Materials may
be edited for content and length.







Journal Reference:

1.   
Sohrab Saeb, Mi Zhang, Christopher J Karr, Stephen M Schueller, Marya E
Corden, Konrad P Kording, David C Mohr. Mobile Phone Sensor Correlates
of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal
of Medical Internet Research, 2015; 17 (7): e175 DOI: 10.2196/jmir.4273

http://www.sciencedaily.com/releases/2015/07/150715112605.htm

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