Available Technologies

Executive Summary

Depression is the leading health issue on college campuses in the U.S. Today, college students are dealing with depression at some of the highest rates in decades. Unfortunately, university counseling centers (UCCs), which are the primary access points for students to receive mental health services, are facing significant challenges in meeting the increasing demands. Specifically, clinicians at UCCs still rely on patients' self-reported symptoms for depression assessment. To address these issues, researchers at Michigan State University (MSU) have designed and developed iSee, a smart device based behavior monitoring and analytics platform.

Description of Technology

MSU researchers have developed iSee, a behavior monitoring and analytics platform to extend the reach of mental health care far beyond clinical settings and to deliver timely therapies when needed. Continuously tracked depression symptoms allow UCCs to be more accurately informed with the severity of each patient. Although focusing on depression of college students, this platform can be extended to other mental health conditions such as anxiety, bipolar disorder, dementia, and schizophrenia and adapted to patients beyond college students.

Key Benefits

• Smartphone/wristband: A smart device sensing system running on the patient side to continuously and passively track patient's daily behaviors using onboard sensors
• Behavior analytics engine: Results identify the patient's depression severity and reveal behavioral causes that lead to the mitigation or the deterioration of the patient's status
• Increased Quality of Patent Treatment: Dashboard running on the clinician side to visualize behavior information, as well as analyses results to help clinicians make clinical decisions and conduct treatment.

Applications

• Allows clinicians to access an objective, quantitative and longitudinal record of patients' daily behavior to support evidence-based clinical assessment
• Counseling Services
• Public hospitals
• Private clinics

IP Status:

Copyright

Licensing Rights Available

Full licensing rights available

Inventors: Mi Zhang, Jingbo Meng

Tech ID: TEC2017-0057