Analysis of Facial Expressions for Pain Recognition in Fibromyalgia: Using Artificial Intelligence and Biomarkers

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-65
SponsorFaculdade de Ciências Médicas de Minas Gerais

About this trial

Fibromyalgia (FM) is a chronic musculoskeletal pain syndrome with characteristics of generalized body pain, low pain threshold, tenderness and stiffness in muscles, tendons and joints. The assessment of pain in this condition is a challenge due to its subjective nature. A promising approach to assessing pain intensity is facial expression analysis, which can serve as an objective indicator. In addition, research seeks to identify molecular molecular markers to quantify pain. However, the lack of a standardized system has made it difficult to identify reliable markers. In summary, the search for objective methods of assessing pain in fibromyalgia is essential in order to develop more effective more effective treatments. Facial expression analysis and the investigation of molecular markers are promising ways of quantifying pain intensity more accurately and intensity of pain more accurately and reliably in fibromyalgia.

Eligibility criteria

Qualifiers

The inclusion criteria are patients with no diagnosed cognitive deficit and who are willing to take part in the study.

Disqualifiers

Exclusion criteria are patients who use medication that can affect anxiety or depression or inability to understand the instructions.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

122 Participants
are grouped into 2 trial groups

Sponsors and collaborators

Faculdade de Ciências Médicas de Minas Gerais

Lead sponsor

Fundação de Amparo à Pesquisa do estado de Minas Gerais

Collaborator

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Collaborator