FH Campus Wien University of Applied Sciences, Health Sciences, 1100 Vienna, Austria.
Paracelsus Medical University, Institute of Biomechanics, 5020 Salzburg, Austria.
Stud Health Technol Inform. 2023 May 2;301:108-114. doi: 10.3233/SHTI230021.
Relearning physiological movement patterns is a key factor to success in the treatment of functional deficits. Motivation to train sustainably is essential for successful motor re-education and can be promoted by instrumentally supported real-time feedback.
Study findings should improve the understanding of real-time feedback visualization for exercises targeting the lower extremities.
A mixed-methods survey on recognition, comprehensibility, color scheme and shape of six real-time feedback prototype visualizations was conducted among three user groups (physicians, physiotherapists, and patients).
The mean correct recognition of body regions visualized in the feedback was 55 %, ranging from 29 % to 74 %. Comprehensibility, color scheme and shape were best received for feedback with clear visual guidance, sympathetic and motivating color schemes and abstract visualizations of body regions.
Insights were gathered for the design, optimization, and customization of visualizations to develop a real-time feedback prototype.
重新学习生理运动模式是治疗功能障碍取得成功的关键因素。持续训练的动力对于成功的运动再教育至关重要，仪器支持的实时反馈可以促进这种动力。
研究结果应增进对以下方面的理解：针对下肢的运动再教育，实时反馈可视化。
在三个用户群体（医生、物理治疗师和患者）中，对六种实时反馈原型可视化的识别、可理解性、配色方案和形状进行了混合方法调查。
反馈中可视化的身体区域的平均正确识别率为 55%，范围为 29%至 74%。对于具有清晰视觉指导、协调一致且激励人心的配色方案以及身体区域抽象可视化的反馈，可理解性、配色方案和形状的反馈效果最佳。
为开发实时反馈原型，我们获得了有关可视化设计、优化和定制的见解。
