Harper Brent A, Shiraisshi Michael, Soangra Rahul
Department of Physical Therapy, Chapman University, Irvine, USA.
Department of Physical Therapy, Fowler School of Engineering, Chapman University, Irvine, USA.
2023 Int Conf Next Gener Electron NEleX (2023). 2023 Dec;2023. doi: 10.1109/nelex59773.2023.10421597.
Smartphone applications already provide accessible and cost-effective objective metrics in healthcare. The purpose of this study was to assess the agreement and reliability of an app to a manual stopwatch during a figure-of-eight walking course both with and without visual perturbation. A laboratory-based observation study with twelve healthy adults completed the course under two different visual conditions, one without visual obstruction and the other with visual disruption induced by wearing stroboscopic glasses. Results indicate that each measurement metric is similar but should not be used interchangeably. Bland-Altman plots suggest reliability under each condition. The ICC of each device during both conditions suggest excellent reliability: no visual obstruction (0.988) and with stroboscopic glasses (0.986). Understanding how healthy individuals perform and respond during multiple positional changes under different visual conditions when using a smartphone app is imperative for the clinical translation of this technology. The integration of smartphone apps has the potential to reduce healthcare provider errors and provide more reliable data for modern medical records.
智能手机应用程序已经在医疗保健领域提供了可获取且具有成本效益的客观指标。本研究的目的是评估一款应用程序在有视觉干扰和无视觉干扰的情况下，与手动秒表在“8”字形行走过程中的一致性和可靠性。一项基于实验室的观察性研究让12名健康成年人在两种不同的视觉条件下完成该过程，一种是无视觉障碍，另一种是佩戴频闪眼镜引起视觉干扰。结果表明，每个测量指标相似，但不应互换使用。布兰德-奥特曼图表明在每种条件下的可靠性。两种条件下每个设备的组内相关系数（ICC）表明可靠性极佳：无视觉障碍（0.988）和佩戴频闪眼镜（0.986）。了解健康个体在使用智能手机应用程序时，在不同视觉条件下的多种位置变化中如何表现和做出反应，对于该技术的临床转化至关重要。智能手机应用程序的整合有可能减少医疗保健提供者的错误，并为现代医疗记录提供更可靠的数据。
