[P3-127] Developmental Changes of Motor Functions Quantitatively Evaluated using Three-dimensional Motion Capture System
[Introduction] To monitor pathology of neuromuscular diseases, functional motor scales were successfully employed. Because of the gaps between scale points, however, subtle improvements were often inexpressible. Our objective is to develop a quantitative method to evaluate motor functions. We employed 3D motion capture system and devised two novel indices as a linear measurement of motor function, namely spatial deviation (SpDe) estimating preciseness of the movement repetition and direction variance (DiVa) estimating smoothness of the directional changes (Matsumaru and Kato AOCCN 2015). In this study, we present further progress of our investigation, regarding developmental changes of motor function assessed with our indices.
[Method] Healthy subjects were recruited. The target movement was the flexion/extension movement, repeating ten times, and three joints are considered: shoulder, elbow, and wrist. The movements were recorded with 3D motion capture system (ANIMA Corp., Tokyo). The trajectory data were analysed using SpDe and DiVa.
[Results] 36 subjects under age of 16 were analyzed. The mean age was 9.47±4.89. From the analysis of the shoulder flexion movement of the dominant hand, we found that SpDe decreased radically with increasing age. In contrast, DiVa decreased rarely but slightly.
[Conclusions] Considering pediatric neuromuscular diseases, normal development of motor function is an inevitable factor to assess disease progression and drug efficacy. These findings indicate that developmental changes of motor function influence SpDe and DiVa differently. Utilizing these data, our evaluation method with SpDe and DiVa is now capable to assess motor function even as a comparison with that of similar age.
[Method] Healthy subjects were recruited. The target movement was the flexion/extension movement, repeating ten times, and three joints are considered: shoulder, elbow, and wrist. The movements were recorded with 3D motion capture system (ANIMA Corp., Tokyo). The trajectory data were analysed using SpDe and DiVa.
[Results] 36 subjects under age of 16 were analyzed. The mean age was 9.47±4.89. From the analysis of the shoulder flexion movement of the dominant hand, we found that SpDe decreased radically with increasing age. In contrast, DiVa decreased rarely but slightly.
[Conclusions] Considering pediatric neuromuscular diseases, normal development of motor function is an inevitable factor to assess disease progression and drug efficacy. These findings indicate that developmental changes of motor function influence SpDe and DiVa differently. Utilizing these data, our evaluation method with SpDe and DiVa is now capable to assess motor function even as a comparison with that of similar age.