一个用于严重的exergames的多模式软件架构及其在呼吸系统康复中的使用
Claudinei Dias1, Jhonatan Thallisson Cabral Nery1, Marcelo da Silva Hounsell1
1Department of Electrical Engineering, Santa Catarina State University, Joinville 89219-710, Brazil.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
严的实践游戏 (SEG) 现在具有灵活性,互补性和监测. 123-SGR架构能够为康复提供多样化的投入,改善专业人员和患者的医疗技术.
科学领域:
- 康复技术 康复技术 康复技术
- 医疗信息学 医疗信息学
- 人与计算机的交互
背景情况:
- 严的实践游戏 (SEG) 缺乏诸如灵活性,互补性和监控等基本功能.
- 由于治疗和测量需求的多样性,这些功能对健康SEG至关重要.
- 现有的SEG架构无法同时整合这三个关键功能.
研究的目的:
- 介绍123-SGR软件架构用于开发健康SEGs.
- 创建一个适合康复专业人员和患者的SEG.
- 通过结合灵活性,互补性和监控来解决当前SEG架构的局限性.
主要方法:
- 开发了123-SGR软件架构.
- 适应现有的SEG和集成治疗相关传感器 (肺动脉计,人体真空计,压力带,氧计).
- 启用各种输入组合,包括传感器融合和意识/无意识信号的处理.
主要成果:
- 123-SGR架构成功地集成了灵活性/等价性,互补性和监控功能.
- 卫生和技术专业人士证实了这些特征的重要性和必要性.
- 该架构支持多种输入组合,以增强患者互动.
结论:
- 123-SGR架构为未来的重复训练游戏开发提供了强大的蓝图.
- 它有效地解决了对健康SEGs适应性和全面输入系统的需求.
- 这种架构增强了SEGs在临床应用和患者参与方面的实用性.
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