Department of Sport Science, Japan Institute of Sports Sciences, 3-15-1 Nishigaoka, Kita-ku, Tokyo 115-0056, Japan.
School of Creative Science and Engineering, Waseda University, Wasedamachi-27, Shinjuku-ku, Tokyo 169-8050, Japan.
Sensors (Basel). 2022 Feb 18;22(4):1615. doi: 10.3390/s22041615.
Wheelchair sports are recognized as an international sport, and research and support are being promoted to increase the competitiveness of wheelchair sports. For example, an electromyogram can observe muscle activity. However, it is generally used under controlled conditions due to the complexity of preparing the measurement equipment and the movement restrictions imposed by cables and measurement equipment. It is difficult to perform measurements in actual competition environments. Therefore, in this study, we developed a method to estimate myoelectric potential that can be used in competitive environments and does not limit physical movement. We developed a deep learning model that outputs surface myoelectric potentials by inputting camera images of wheelchair movements and the measured values of inertial sensors installed on wheelchairs. For seven subjects, we estimated the myoelectric potential during chair work, which is important in wheelchair sports. As a result of creating an in-subject model and comparing the estimated myoelectric potential with the myoelectric potential measured by an electromyogram, we confirmed a correlation (correlation coefficient 0.5 or greater at a significance level of 0.1%). Since this method can estimate the myoelectric potential without limiting the movement of the body, it is considered that it can be applied to the performance evaluation of wheelchair sports.
轮椅运动被认为是一项国际运动，目前正在进行研究和支持，以提高轮椅运动的竞争力。例如，肌电图可以观察肌肉活动。然而，由于测量设备准备的复杂性以及电缆和测量设备对运动的限制，它通常在受控条件下使用。在实际比赛环境中进行测量很困难。因此，在这项研究中，我们开发了一种可以在竞争环境中使用且不限制身体运动的估计表面肌电潜力的方法。我们开发了一种深度学习模型，通过输入轮椅运动的相机图像和安装在轮椅上的惯性传感器的测量值来输出表面肌电潜力。对于七个受试者，我们估计了在轮椅运动中很重要的椅面运动期间的肌电潜力。通过创建受试者内模型并将估计的肌电潜力与肌电图测量的肌电潜力进行比较，我们确认了相关性（在显著性水平为 0.1%时相关系数为 0.5 或更高）。由于该方法可以在不限制身体运动的情况下估计肌电潜力，因此可以将其应用于轮椅运动的表现评估。
