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首页> 外文会议>International Congress on Sport Sciences Research and Technology Support >Heart Rate Variability in Exergaming - Feasibility and Benefits of Physiological Adaptation for Cardiorespiratory Training in Older Adults by Means of Smartwatches
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Heart Rate Variability in Exergaming - Feasibility and Benefits of Physiological Adaptation for Cardiorespiratory Training in Older Adults by Means of Smartwatches

机译：通过Smartwatches通过Smartwatches对老年人心肺训练生理适应的可行性和益处的心率变异性

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Exergames are videogames that use physical movement to mediate player's interactions with digital contents. Multiple adaptation mechanisms have been used to enhance the effectiveness of employing Exergames to promote physical exercise. One of the most interesting strategies utilizes physiological signals to infer the status of player's cardiorespiratory responses and create real-time game adaptations. This strategy is called biocybernetic-adaptation and despite its promising potential, quantitative studies identifying measurable benefits are scarce. We developed a between-subjects study measuring the autonomic-cardiac regulation differences between conventional cardiorespiratory training methods and a physiologically modulated Exergame in a group of fifteen older adults. We used heart rate (HR) data measured through smartwatches and a floor-projection setup to encourage players to exert in targeted HR zones. We presented the analysis of the time users spent in the target zone and the Heart-Rate-Variability (HRV) in time and frequency domains during training sessions of 20 minutes length. Two time-domain (SDNN and RMSSD) and one frequency-domain (VLF) HRV parameters showed significant differences, revealing lower HRV values in the physiologically adaptive condition when compared with conventional training. Our data suggests that smartwatch technology can be accurate enough to assess HRV changes, and that a HR based physiologically adaptive Exergame induces less HRV.
机译：Exergames是使用物理运动来调解玩家与数字内容的交互的视频游戏。多种适应机制已被用于增强采用Exergams促进体育锻炼的有效性。最有趣的策略之一利用生理信号来推断玩家的心肺反应的地位，并创造实时游戏适应。该策略称为生物纤维适应，尽管有希望的潜力，但识别可衡量效益的定量研究是稀缺的。我们开发了一个受试者的研究，测量传统心肺训练方法与一组十五名老年人的生理调查的Exergame之间的自主主义心脏调节差异。我们使用了通过Smartwatches和地板投影设置来测量的心率（HR）数据，以鼓励玩家在有针对性的人力资源区发挥作用。我们在训练期间在20分钟的培训期间提出了对目标区中花费的时间用户和心率变异性（HRV）的时间和频率域。两种时间域（SDNN和RMSD）和一个频域（VLF）HRV参数显示出显着的差异，与传统训练相比，在生理自适应条件下显示出较低的HRV值。我们的数据表明，SmartWatch技术可以准确地评估HRV变化，并且基于HR的生理自适应Exergame诱导较少的HRV。

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