- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05988840
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. (EMOACQ-1)
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.
Study Overview
Status
Conditions
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Tanel Petelot
- Phone Number: +33 +33 51 44 26 67
- Email: tanel.petelot@emobot.fr
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
The first cohort of 20 participants will be provided with the 20 measuring embedded device, we will be able to collect specific data at targeted times and for specific activities.
The second cohort formed with the remaining participants will receive the software on their personal computer, enabling us to capture more general data and analyze behavior patterns in less controlled contexts.
Description
Inclusion Criteria:
- Persons over the age of 18 who volunteer to take part in research
- Must have access to a computer with an Internet connection,
- Written comprehension of French.
Exclusion Criteria:
- N/A
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
The hardware group (on-board camera)
A physical device equipped with a camera and embedding the acquisition/monitoring software.
Positioned in the living space, it will be possible to capture the facial expressions of the person in ecology, for example when watching a TV program or reading.
|
Using the tool developed by Emobot, EMOACQ-1 is a study that passively and non-interventionaly collects data by capturing patients' facial expressions throughout the day, and then measures the correlation between emotional signals and the results of measurement questionnaires used in psychiatry.
|
The software-only group (running on a PC or tablet and using the available webcam)
Software running on a computer, connected to the computer's camera (webcam).
If the person is teleworking on a PC, it is expected that images will be captured during videoconferencing-type interactions.
|
Using the tool developed by Emobot, EMOACQ-1 is a study that passively and non-interventionaly collects data by capturing patients' facial expressions throughout the day, and then measures the correlation between emotional signals and the results of measurement questionnaires used in psychiatry.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Repeated measurements Correlations between emotional signals and studied disorders standardized tests.
Time Frame: 10 months
|
Repeated measurements Correlations between emotional signals and studied disorders standardized tests.
|
10 months
|
Collaborators and Investigators
Sponsor
Publications and helpful links
Helpful Links
- D. Agarwal et al. From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation. Nov 2021, Virtual, United States.
- Mamadou Dia et al. A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews, CBMS, June 2023.
- E. Garcia-Ceja et al. Depression: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients
- J. Gratch et al. The Distress Analysis Interview Corpus of Human and Computer Interviews.
- X. Kong et al. Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network.
- Mundt JC, Vogel AP, Feltner DE, Lenderking WR. Vocal acoustic biomarkers of depression severity and treatment response.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023-A01589-36
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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