Pimentel Jhielson M, Moioli Renan C, de Araujo Mariana F P, Ranieri Caetano M, Romero Roseli A F, Broz Frank, Vargas Patricia A
Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom.
Bioinformatics Multidisciplinary Environment, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Brazil.
Front Neurorobot. 2021 Jul 1;15:640449. doi: 10.3389/fnbot.2021.640449. eCollection 2021.
In this work, we present the first steps toward the creation of a new neurorobotics model of Parkinson's Disease (PD) that embeds, for the first time in a real robot, a well-established computational model of PD. PD mostly affects the modulation of movement in humans. The number of people suffering from this neurodegenerative disease is set to double in the next 15 years and there is still no cure. With the new model we were capable to further explore the dynamics of the disease using a humanoid robot. Results show that the embedded model under both conditions, and , was capable of performing a simple behavioural task with different levels of motor disturbance. We believe that this neurorobotics model is a stepping stone to the development of more sophisticated models that could eventually test and inform new PD therapies and help to reduce and replace animals in research.
在这项工作中，我们朝着创建一种新的帕金森病（PD）神经机器人模型迈出了第一步，该模型首次在真实机器人中嵌入了一个成熟的PD计算模型。帕金森病主要影响人类运动的调节。在未来15年里，患这种神经退行性疾病的人数预计将翻倍，而且仍然没有治愈方法。借助新模型，我们能够使用人形机器人进一步探索该疾病的动态变化。结果表明，在两种条件下，嵌入的模型都能够在不同程度的运动干扰下执行简单的行为任务。我们相信，这种神经机器人模型是开发更复杂模型的垫脚石，这些更复杂的模型最终可以测试并为新的帕金森病治疗方法提供信息，并有助于在研究中减少和替代动物。
