用于步态分析的智能子:对算法进行比较研究
概括
这项研究比较了Sensoria智能和APDM移动实验室系统进行步态分析. 更高的切断频率改善了对立场和摆动参数的协议,显示了可穿戴康复设备的潜力.
科学领域:
- 生物医学工程 生物医学工程
- 运动科学 运动科学 运动科学
- 康复技术 康复技术 康复技术
背景情况:
- 可穿戴式电子织系统为远程患者监测和康复提供了有前途的解决方案.
- 精确提取时空步行参数对于评估流动性和指导干预措施至关重要.
- 对新型可穿戴传感器与已建立的参考系统进行验证对于临床采用至关重要.
研究的目的:
- 评估Sensoria智能和APDM移动实验室之间关于步态分析系统的协议.
- 评估不同Butterworth过切断频率对时空参数提取的影响.
- 确定最佳的过策略,以使用电子织技术可靠地获取步态数据.
主要方法:
- 在步态分析过程中从十八名健康受试者收集的实验数据.
- 步行参数包括步行周期时间,节奏,摆动和姿势被统计分析.
- 信号使用Butterworth过以不同的切断频率进行调节.
主要成果:
- 对于步行周期时间和节奏,无论使用过方法,都观察到强烈的一致性.
- 更高的切断频率或没有过,增强了对立场和摆动参数的协议.
- 较低的切断频率在立场和摆动测量中引发了显著的系统错误.
结论:
- 传感器智能在关键步行参数方面与APDM移动实验室达成良好协议.
- 过策略对立场和摆动测量的准确性产生重大影响.
- 建议优化过,可能通过混合算法,以使用可穿戴电子织系统进行准确的步态分析,支持其在康复中使用.
更多相关视频
06:25Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
Published on: August 12, 2019
9.0K
08:26Comparative Analysis of Lower Limb Kinematics between the Initial and Terminal Phase of 5km Treadmill Running
Published on: July 17, 2020
6.4K
相关概念视频
Multiple Comparison Tests
3.5K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.5K
Machines: Problem Solving II
793
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
793
Statically Indeterminate Problem Solving
951
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
951
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
442
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
442
Trial and Error and Algorithm
546
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
546
Heuristics
725
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
725
