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- Analysis of the complexity and variability of fine and gross motor tasks in fibromyalgia patients: precision and retrospective cross-sectional studiesPublication . Brígida, Nancy Anacleto; Branco, Marco; Catela, DavidFibromyalgia (FM) can be defined as a non-inflammatory chronic and widespread pain disease (Gentile et al., 2019) that present and series of other symptoms such as fatigue, Allodynia, Hyperalgesia, functional impairment, balance deficit, and others (ACSM, 2021; Rasouli et al., 2017). FM is considered to be a disease or syndrome that shows a central nervous system dysfunction in pain modulation (Gentile et al., 2019). This functional impairment in FM patients may be related to disturbances in motor functions, such as deficits in fine and gross motor control (Pérez-de-Heredia-Torres et al., 2013; Rasouli et al., 2017). Until today, it is still impossible to confirm the diagnosis of Fibromyalgia because no clinical tests are available for this purpose (ACSM, 2021). The present dissertation intends to verify if Inertial Measurement Units (IMU) are instruments that can facilitate the applicability (Study 1) of FTT; Analyze and interpret entropy values during fine and gross motor control tasks (Study 2), and assess the variability during the same fine and gross motor control tasks (Study 3) of individuals with FM diagnosis; and also to verify if the IMU with the non-linear analysis can characterize FM patients. The sample of 20 female subjects, 10 with FM and 10 without, with ages between 20 and 70 years old, was divided into experimental and control groups. Participants were asked to perform de finger tapping test with both hands, the gait task, and the sit and stand test. IMUs were used in all tasks to collect the required data for each study. Non linear measures of entropy and variability were used to allow a detailed and deeper motor control analysis, focusing on the process and on the quality of movement (Azami et al., 2017). The results showed that using inertial sensors may be of great applicability in the finger tapping test, and it could be a possible alternative to the traditional method. This method allows the tridimensional collection and analysis of other important information that we can only access by looking at the process and not just the results in a more practical, faster, and cheaper way. And the use of IMU, along with non-linear analysis in fine and gross motor control, could allow a better understanding and characterization of both groups, Fibromyalgia, and control, through the analysis of entropy and variability In conclusion, the use of inertial sensors to collect data from fine and gross motor has great potential and brings innovation to exercise researchers and professionals.