Department of Sport and Exercise Science, Paris Lodron University of Salzburg;
Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg.
J Vis Exp. 2024 Sep 27(211). doi: 10.3791/66733.
While running is amongst the most popular activities for competition and leisure, an estimated 20-40% of runners may suffer from respiratory limitations. Some of these runners may benefit from breathing techniques to improve performance or alleviate respiratory discomfort. One such technique is locomotor-respiratory coupling (LRC), a frequency and phase synchronization of breath to step. Studies have demonstrated that LRC may benefit ventilatory efficiency via "step-driven flows," and some experts have argued it could be used for pacing exercise or increasing positive emotional states. Nevertheless, it may be difficult to perform without coaching or guidance. Here we propose RunRhythm, a custom smartphone application to deliver step-synchronized sound guidance for LRC. This concept builds on previous evidence that sound guidance can be effective and integrates features to maximize adherence and individualization. Preliminary results show that this application is a promising and efficacious method suitable for research on LRC in field exercise. Recommendations for use and further development are discussed to further develop this concept for the benefit of a wider population.
虽然跑步是最受欢迎的竞赛和休闲活动之一,但据估计,20-40%的跑步者可能会受到呼吸限制。其中一些跑步者可能会受益于呼吸技巧来提高表现或减轻呼吸不适。一种这样的技术是运动呼吸耦合(LRC),即呼吸与步频的频率和相位同步。研究表明,LRC 可以通过“步驱流”来提高通气效率,一些专家认为它可以用于运动节奏控制或增加积极的情绪状态。然而,如果没有教练或指导,可能很难执行。在这里,我们提出了 RunRhythm,这是一款定制的智能手机应用程序,可提供 LRC 的步频同步声音指导。这个概念建立在前人研究的基础上,证明声音指导是有效的,并整合了一些功能来最大限度地提高依从性和个性化。初步结果表明,该应用程序是一种有前途和有效的方法,适合现场运动中对 LRC 的研究。为了使更广泛的人群受益,我们讨论了使用和进一步开发的建议,以进一步开发这一概念。