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Facial Expression clinical trials

View clinical trials related to Facial Expression.

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NCT ID: NCT05477303 Recruiting - Pain, Postoperative Clinical Trials

Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression

Start date: June 17, 2022
Phase:
Study type: Observational

Patients' subjective complaints about pain intensity are difficult to objectively evaluate, and may lead to inadequate pain management, especially in patients with communication difficulties.

NCT ID: NCT04911140 Recruiting - Wrinkle Clinical Trials

Comparison of the Effects of Two Frequencies of Application of Photobiomodulation on Facial Rejuvenation

Start date: May 30, 2021
Phase: Phase 2
Study type: Interventional

Skin aging is an irreversible, slow and progressive process, being influenced mainly by age, but also by external factors such as ultraviolet radiation, smoking, alcohol, among others. Studies have shown benefits of photobiomodulation for facial rejuvenation, especially with the use of red LED. However, there is still a high level of variability in treatment parameters and frequency of application of FBM. The purpose of this study is to compare the effects of photobiomodulation with LED mask (660nm, 6.4 mW/cm², 2.67 J/cm², 5.02 mW, 21 min) on facial rejuvenation using 2 application frequencies: a group will receive 2 weekly applications for 4 weeks and another group will receive 3 weekly applications for the same period. A group with simulated photobiomodulation applied twice a week for 4 weeks will be used as a control. The treatment will be performed in female participants aged between 45 and 60 years. After a period of one month, the depth and width of wrinkles (assessment of face impressions by optical coherence tomography), evaluations of photographic images by specialists (Wrinkle Assessment Scale), as well as the quantitative analysis of the wrinkle size by the Image J software and the level of satisfaction of the participants (FACE-Q) will be compared with data collected before the start of the study. All data will be statistically analyzed according to their distribution, seeking a level of statistical significance of 5%.