## 1 Introduction  
In current clinical practice, when the patient needs dental rehabilitation, it is necessary to assess every aspect of their stomatognathic system, especially in rehabilitations that involve modifications to the occlusal area, in order to restore physiology. Among these analyses, the evaluation of mandibular kinematics and muscle activity plays a strategic role. Over the past two decades, the advancement and widespread adoption of digitized methods for evaluating stomatognathic function has significantly simplified the entire rehabilitation process [1; 2; 3; 4]. One of the advantages is the possibility to digitally simulate the desired outcome of rehabilitation before implementing it on the patient, enabling better planning and delivering consistent outcomes [2; 5; 6; 7]. Digital methods are realities that dentistry can no longer ignore; their field of application covers all disciplines of the dental industry, from data acquisition to treatment planning. Digital methods are also designed to be able to evaluate the information of clinical relevance through digital systems in a fast, accurate, and comparable way. Regarding the gnathology field, in modern clinical practice, various tools are commonly employed. These include smartphone apps, software programs, accelerometers, posture-stabilometric platforms, electromyographs, intraoral scanners, devices for analyzing mandibular kinematics, facial scanners, and digital cephalometry analysis tools [1; 7; 8; 9; 10; 11; 12; 13]. In the past, analogical instruments such as articulators were employed to simulate the patient's stomatognathic function and assess the relationship between dental arches during mandibular movements on the base of mechanical values [6; 13; 14]. However, with the advancement of digital technologies in dentistry, it is now possible to achieve a more precise evaluation by directly capturing the actual movements of the patient's mandibular condyles without relying on statistical data [1; 4]. During dental rehabilitations that involve modifications to the occlusal area, monitoring changes in mandibular kinematics and muscular activity is crucial, especially in detecting the correlation between joint movements and electromyographic activity. For this purpose, the digitalization of actual condylar paths and muscular masticatory cycles can help in assessing the correlation between the parameters. However, there is still a lack of comprehensive studies in the scientific literature that provide data on such variations using digital instrumentation, as muscle activations and joint movements are generally measured and studied independently. In clinical practice, it is common to examine masticatory function by analyzing mandibular kinematics and muscle contraction as distinct entities. Similarly, the results obtained from these analyses are typically assessed independently by measuring masticatory direction as a function of muscle activation in patients with malocclusions [15; 16; 17]. Today, thanks to innovative technologies for data acquisition with stereophotogrammetry, it is possible to trace the real condylar path along with the ability to capture joint movements and muscle activations. Also, studying the associations and correlations between variables related to muscle activation and those related to condylar pathways during a chewing cycle has become increasingly possible. Therefore, the primary objective of this study is to investigate the correlation between electromyography data and mandibular kinematics recorded during the masticatory cycle in subjects who did not exhibit pathologies of the temporomandibular joint. Correlating the results of both examinations on healthy subjects would allow for an integrated analysis of muscle activities and intraarticular dynamics of electromyography data and mandibular kinematics during the masticatory cycle.