Rojek Izabela, Mikołajewski Dariusz, Kopowski Jakub, Kotlarz Piotr, Piechowiak Maciej, Dostatni Ewa
Institute of Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-064 Bydgoszcz, Poland.
Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, pl. M. Skłodowskiej-Curie 5, 60-965 Poznan, Poland.
Materials (Basel). 2021 Sep 4;14(17):5074. doi: 10.3390/ma14175074.
Traditional rehabilitation systems are evolving into advanced systems that enhance and improve rehabilitation techniques and physical exercise. The reliable assessment and robotic support of the upper limb joints provided by the presented elbow exoskeleton are important clinical goals in early rehabilitation after stroke and other neurological disorders. This allows for not only the support of activities of daily living, but also prevention of the progression neuromuscular pathology through proactive physiotherapy toward functional recovery. The prices of plastics are rising very quickly, as is their consumption, so it makes sense to optimize three dimensional (3D) printing procedures through, for example, improved artificial intelligence-based (AI-based) design or injection simulation, which reduces the use of filament, saves material, reduces waste, and reduces environmental impact. The time and cost savings will not reduce the high quality of the products and can provide a competitive advantage, especially in the case of thinly designed mass products. AI-based optimization allows for one free print after every 6.67 prints (i.e., from materials that were previously wasted).
传统康复系统正在演变为先进系统，这些系统可增强和改进康复技术及体育锻炼。所展示的肘部外骨骼对上肢关节的可靠评估和机器人支持是中风及其他神经系统疾病早期康复中的重要临床目标。这不仅有助于支持日常生活活动，还能通过积极的物理治疗预防神经肌肉病变的进展，促进功能恢复。塑料价格上涨迅速，其消费量也在增加，因此通过改进基于人工智能的设计或注塑模拟等方式优化三维（3D）打印程序是有意义的，这可以减少长丝的使用、节省材料、减少浪费并降低对环境的影响。时间和成本的节省不会降低产品的高质量，并且可以提供竞争优势，尤其是在设计轻薄的批量产品的情况下。基于人工智能的优化允许每6.67次打印中有一次免费打印（即使用之前浪费的材料）。
