In order to evaluate the ability of human standing balance scientifically, we in this study proposed a new evaluation method based on the chaos nonlinear analysis theory. In this method, a sinusoidal acceleration stimulus in forward/backward direction was forced under the subjects' feet, which was supplied by a motion platform. In addition, three acceleration sensors, which were fixed to the shoulder, hip and knee of each subject, were applied to capture the balance adjustment dynamic data. Through reconstructing the system phase space, we calculated the largest Lyapunov exponent (LLE) of the dynamic data of subjects' different segments, then used the sum of the squares of the difference between each LLE (SSDLLE) as the balance capabilities evaluation index. Finally, 20 subjects' indexes were calculated, and compared with evaluation results of existing methods. The results showed that the SSDLLE were more in line with the subjects' performance during the experiment, and it could measure the body's balance ability to some extent. Moreover, the results also illustrated that balance level was determined by the coordinate ability of various joints, and there might be more balance control strategy in the process of maintaining balance.
The RE-AIM framework is the most commonly used framework for implementation research outcome evaluation, with the original paper cited 2 800 times. However, in the specific operationalization process of the framework, there are often situations of misuse or overuse of various dimensions and indicators. This article provides a detailed introduction to the main content, application scenarios, and characteristics of the RE-AIM framework. Taking the implementation research of Evidence-based Practice Guidelines for Integrated Traditional Chinese and Western Medicine Treatment of Stroke as an example, it introduces how to use the silent & anonymous feedback technology, which combines the improved Delphi method and nominal group technique, to construct an implementation outcome indicator evaluation system to achieve the operability of the RE-AIM framework. This will provide a reference for other researchers to use implementation science theories, models, and frameworks to develop implementation plans or evaluate implementation outcomes.