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一种基于人类生理状态的关节曲辅助的新型个性化策略

Beixian Wu^1,2,3, Chunjie Chen^2,3,4, Sheng Wang^2,3

¹College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541006, China.

|September 27, 2024

概括

这项研究引入了一个个性化的软外衣,它使用实时生理数据来调整部曲辅助. 这种新的系统可以降低步行期间的代谢成本,提高用户体验和效率.

科学领域:

生物医学工程生物医学工程
康复技术康复技术康复技术
人与计算机的交互

背景情况:

现有的软外衣缺乏个性化帮助,导致用户体验不足.
当前的人在循环 (HIL) 系统经常忽视实时生理状态监测以进行动态调整.
需要智能控制策略来适应出口服的辅助,以满足移动过程中的个人需求.

研究的目的:

开发和评估一种用于软外套的新型个性化动力辅助系统.
通过整合实时生理和运动反来优化关节辅助.
调查生理状态监测控制 (PSMC) 系统在降低代谢支出方面的有效性.

主要方法:

开发了一个软的外套,配有个性化的动力辅助系统.
综合实时监测心率 (HR),血氧和度 (SpO2) 和惯性测量单元 (IMU) 数据.
实施了生理状态监测控制 (PSMC) 系统,根据反来调整部曲辅助.

主要成果:

基于PSMC的软外衣在跑步机上以3.5公里/小时的速度行走时,降低了7.81%的代谢支出.
在每小时2,4公里和6公里的速度下,代谢消耗分别下降了5.1%,5.8%和8.2%.
在各种步行强度中显著降低了代谢成本.

结论:

开发的个性化软外衣有效降低了行走期间的代谢成本.
实时生理状态监测和动态辅助调整是提高步行效率的可行策略.
这种方法支持适应式外套系统的设计,以改善辅助和康复应用.

关键词:

部曲部曲部曲代谢成本是代谢成本.柔软的外套外套是什么意思物理标志的状态.可穿戴传感器监控监控可穿戴传感器

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