аЯрЁБс>ўџ 24ўџџџ1џџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџьЅС#` №ПЅbjbjЁЁ 7 УУЅ џџџџџџЄммммммм№ДДДДа №- ЖшшшшшУУУЌ Ў Ў Ў Ў Ў Ў $у hKв м УУ  в ммшшлч \ \ \  мшмшЌ \  Ќ \ \ мм\ шм І[КˆЏЧД& \ Ќ § 0- \ a0 a\ aм\ PУМ†\ lqŸУУУв в F УУУ-     №№№ФД№№№Д№№№ммммммџџџџ Pelivan I1, Valentic-Peruzovic M1, Michieli I2, Dubravic A2, Catic A1, Alajbeg ZI1, Illes D1 1 Department of Prosthodontics, School of Dental Medicine, University of Zagreb, Croatia 2 Electronic Department, Rudjer Boskovic Institute, Zagreb, Croatia Tri-axial Accelerometric Analysis of Dynamic Patterns of Mandibular Movements Objectives: The dynamics of mandibular movements is determined by neuromuscular physiology as well as pathophysiology of all parts of the masticatory system. The objective of this pilot study was to examine if dynamic features of mandibular movements in healthy subject can be described and extracted through mandible acceleration measurements. Accelerometric analysis represents a simple and unique method for acquiring specific dynamic data of mandibular movement which can be used for determining physiological as well as pathological dynamics’ patterns. Methods: This pilot study included a healthy subject without any signs or symptoms of temporomandibular disorders which was determined using RDC/TMD examination protocol and computerized analysis of dental occlusion (T-ScanЎII, Tekscan, USA). Accelerations were measured by tri-axial MEMS wireless acceleration sensor (GLinkTM, Microstrain, USA) with range of +/-10G and freely selected sweep rate of 1 kHz. Sensor was mounted on custom-made holder firmly fixed to subject's mandibular teeth to avoid soft tissues' movement artefacts. Acquisition of acceleration data was performed during mouth opening-closing cycles (OC), protrusive (P) and right and left laterotrusive movements (RL, LL) with predetermined pace and amplitude. By means of accelerometric data mean vertical and horizontal velocities of the mandible during movements were calculated. The comparison of acceleration values during mandibular movements was performed using analysis of variance (ANOVA) and pair wise comparisons (post-hoc Scheffe test). Results: Raw tri-axial accelerometric data recorded during mandibular opening-closing cycles are showed in Figure 1. Similar data were recorded during left and right laterotrusive as well as during protrusive movements of mandible. Analysis of acceleration and calculated velocity data during protrusive and laterotrusive movements also reveal regular, repetitive and recognizable patterns. Acceleration and calculated respective velocities in Y-axis (frontal plane) of opening and closing cycles demonstrate smooth, repetitive and distinctive patterns of mandibular movements (Figure 2). For the purpose of this study Y-axis (vertical) accelerometric values for different mandibular movements (Table 1) were analysed. The analysis of variance showed that acceleration values of performed mandibular movements were significantly different (P<0.05). The post-hoc Scheffe tests (Table 2) showed that differences were found between OC and three other mandibular movements (RL, LL and P) (P<0.05). There was no significant difference between RL and LL (P>0.05). Conclusion: Acceleration and velocity during mouth opening-closing cycles demonstrate repetitive and distinctive dynamics patterns. They are significantly different (P<0.05) from patterns of protrusive and laterotrusive movements which also demonstrate repetitive and regular form. Those data could be used as the basis for time and spectral domain attribute description of regular and pathological mandibular movements. 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