Last reviewed · How we verify
NCT05988840: EMOACQ-1
Acquisition and Analysis of Relationships Between Longitudinal Emotional Signals Produced by an Artificial Intelligence Algorithm and Self-questionnaires Used in the Psychiatric Follow-up of Patients With Mood and/or Anxiety Disorders: a Real-Environment Study.
trial testing Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires. in Anxiety Disorders in 50 participants. Status unknown.
17 August 2024
Quick facts
| Lead sponsor | Emobot |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 50 |
| Start date | 17 October 2023 |
| Primary completion | 17 August 2024 |
| Estimated completion | 17 October 2024 |
Drugs / interventions tested
- Acquisition and analysis of relationships between Longitudinal Emotional Signals produced by a software and Self-questionnaires.
Conditions studied
- Anxiety Disorders — all drugs for Anxiety Disorders →
- Major Depressive Disorder — all drugs for Major Depressive Disorder →
Sponsor
Emobot
Who can join
18 and older, any sex, with Anxiety Disorders or Major Depressive Disorder. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The worldwide prevalence of anxiety and depression increased massively during the pandemic, with a 25% rise in the number of patients suffering from psychological distress. Psychiatrists, and even more so general practitioners, need measurement tools that enable them to remotely monitor their patients' psychological state of health, and to be automatically alerted in the event of a break in behavior. In this study, the investigators propose to collect clinical data along with longitudinal measurement of patients' emotions. Emobot proposes to analyze the evolution of mood disorders over time by passively studying people's emotional behavior. The aim of EMOACQ-1 is to acquire knowledge and produce a quantitative link between emotional expression and mood disorders, ultimately facilitating the understanding and management of these disorders. Through this study, could be developed a technological solution to support healthcare professionals and patients in psychiatry, a field known as the "poor relation of medicine" and lacking in resources. Such a solution would enable better understanding, disorders remote \& continuous monitoring and, ultimately, better treatment of these disorders. The investigators will process the data by carrying out a number of analyses, including descriptive, comparative and correlation studies of the data from the self-questionnaire results and the emotional signals captured by the devices. Finally, the aim will be to predict questionnaire scores from the emotional signals produced.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT05988840
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Anxiety Disorders
Currently open trials in the same condition.
- NCT07340281 — Biomarkers for Exercise · NA · recruiting
- NCT07432945 — In Vivo Exposure vs. Videochat-Based Vicarious Exposure · NA · recruiting
- NCT07316374 — AI Chatbots for Anxiety Mental Health Literacy · NA · active not recruiting
- NCT07123467 — Cannabidiol-Assisted Learning for Managing Generalized Anxiety Disorder · Phase 3 · recruiting
- NCT07174947 — SSRI Antidepressant Fluoxetine Improving Immunotherapy Efficacy in Advanced Hepatobiliary Malignancy Patients With Depre · Phase 2 · recruiting
Other Emobot trials
Trials by the same sponsor.
- NCT06860165 — Validation of EmoDTx as a Digital Endpoint for Mood Monitoring in Adult Patients Suffering From Unipolar Depression · recruiting
- NCT06601140 — Evaluation of the Concordance Between Measures Obtained by a Medical Device for Emotional Monitoring (EMOCARE) and the P · NA · recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05988840 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Emobot
- Last refreshed: 15 August 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05988840.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing