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.
Official title: 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.
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Anxiety Disorders
Major Depressive Disorder
Lead sponsor: Emobot
Sponsor class: INDUSTRY
First posted: 2023-08-14
Enrollment: 50
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
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.

Brief summary: 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.


Eligibility criteria: 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

Primary outcomes:
measure: Repeated measurements Correlations between emotional signals and studied disorders standardized tests.
timeFrame: 10 months
Secondary outcomes:
Other outcomes:
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