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Developing a Smartphone-Based System to Detect Signs of Depression in Daily Life

Development of multidimensional depression detection platform based on digital phenotyping: establishing the generalized and individualized model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0011920
Enrollment
1200
Registered
2026-04-29
Start date
2021-06-21
Completion date
Unknown
Last updated
2026-05-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Yonsei University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Individuals who wish to participate in the study and provide consent through the online consent form. 2) Individuals who do not have difficulty using a smartphone. 3) Individuals whose current smartphone operates on Android OS version 9.0 or higher. 4) Individuals whose current smartphone operates on iOS (iPhone) version 10.0 or higher. 5) Individuals who, based on the depression screening administered at study entry, are assigned to a group by exceeding the PHQ-9 cutoff for that group before the target number for that group is reached (first-come, first-served basis).

Exclusion criteria

Exclusion criteria: 1) Individuals who have difficulty using a smartphone. 2) Individuals using an Android smartphone with an OS version lower than 9.0. 3) Individuals using an iOS (iPhone) smartphone with an OS version lower than 10.0. ? Rationale for OS version restriction: Due to the operational requirements of the study application (MOCA), stable data collection cannot be ensured on Android versions below 9.0 or iOS versions below 10.0. 4) Individuals who, after providing consent, choose to discontinue participation at any point during the study. 5) Individuals who complete the depression screening but cannot be assigned to the appropriate group because the target enrollment for that group has already been filled. 6) Individuals who have been previously diagnosed with any psychiatric disorder other than depressive disorders. ? Rationale for excluding other psychiatric conditions: The purpose of this study is to develop a platform for detecting depressive symptoms. Including individuals with other psychiatric diagnoses may introduce confounding variability and hinder the establishment and individualization of sensor-based behavioral profiles specific to depressive states. 7) Individuals reporting any of the following psychiatric symptoms: ? current or past psychotic symptoms, ? current or past hypomanic or manic episodes, ? depressive mood occurring in the context of an active adjustment disorder.

Design outcomes

Primary

MeasureTime frame
Prediction accuracy of smartphone sensor–based depression classification models

Secondary

MeasureTime frame
Correlation between sensor-derived behavioral features and depressive symptoms measured by the Patient Health Questionnaire-9(PHQ-9)

Countries

Korea, Republic of

Contacts

Public ContactSeoi Lee

Yonsei University

seoilatte@yonsei.ac.kr+82-2-2123-7536

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: May 7, 2026