基于虚拟现实的Kinect舞蹈训练模式能改善慢性脑卒中患者的自主神经系统调节吗?

Luciana Maria Malosá Sampaio, Savitha Subramaniam, Ross Arena, Tanvi Bhatt
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引用次数: 0

摘要

背景:身体不活动和低静息心率变异性(HRV)与心血管失调、继发性中风风险和死亡率增加有关。有氧舞蹈是一种多维的体育活动,最近的研究支持它作为一种有效的替代心血管训练的应用。此外,技术进步促进了新的运动训练方法的出现,尤其是那些将康复与虚拟游戏相结合的方法。目的:本研究的目的是使用基于虚拟现实的有氧舞蹈训练范式来评估慢性中风患者训练后的心脏自主神经调节。方法:11名社区偏瘫患者[61.7(±4.3)岁]接受了为期6周的基于虚拟现实的舞蹈模式,使用市场上可买到的Kinect舞蹈视频游戏“Just dance 3”。训练采用高强度减量法进行,前两周包括5次/周,接下来的两周3节/周,最后的两周2节/周共20节。干预前后HRV分析获得的数据包括(1)仰卧位10分钟的HRV;(2) 安静地站着。计算作为心脏副交感神经活动指标的高频(HF)功率、副交感神经平衡的低频(LF)功率和交感-迷走神经平衡的LF/HF。YMCA亚最大循环Ergometer测试用于获得干预前后的VO2最大值。使用Omran HJ-321三轴Pedometer评估舞蹈训练期间身体活动的变化。结果:训练后,参与者在仰卧位的自主调节方面有显著改善,表明LF从48.4(±20.1)改善到40.3(±8.0),p=0.03;HF=51.5(±19)至59.7(±8),p=0.02,LF/HF=1.6(±1.9)至0.8(±0.26),p=0.05]。从第1节到第20节,舞蹈干预期间的步数显著增加(结论:目前的研究首次评估了基于虚拟现实的有氧舞蹈训练模式对慢性中风患者HRV的影响。鉴于本研究中使用的模式可以改善心脏自主神经控制,未来的研究应将舞蹈作为辅助治疗纳入临床治疗计划,并评估其长期疗效。)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Virtual Reality-based Kinect Dance Training Paradigm Improve Autonomic Nervous System Modulation in Individuals with Chronic Stroke?

Background: Physical inactivity and low resting heart rate variability (HRV) are associated with an increased cardiovascular deconditioning, risk of secondary stroke and mortality. Aerobic dance is a multidimensional physical activity and recent research supports its application as a valid alternative cardiovascular training. Furthermore, technological advances have facilitated the emergence of new approaches for exercise training holding promise, especially those methods that integrate rehabilitation with virtual gaming.

Objective: The purpose of this study was to evaluate cardiac autonomic modulation in individuals with chronic stroke post-training using a virtual reality - based aerobic dance training paradigm.

Methods: Eleven community-dwelling individuals with hemiparetic stroke [61.7( ± 4.3) years] received a virtual reality-based dance paradigm for 6 weeks using the commercially available Kinect dance video game "Just Dance 3." The training was delivered in a high-intensity tapering method with the first two weeks consisting of 5 sessions/week, next two weeks of 3 sessions/week and last two weeks of 2 sessions/week, with a total of 20 sessions. Data obtained for HRV analysis pre- and post-intervention consists of HRV for ten minutes in (1) supine resting position; (2) quiet standing. High-frequency (HF) power measures as indicators of cardiac parasympathetic activity, low-frequency (LF) power of parasympathetic-sympathetic balance and LF/HF of sympatho-vagal balance were calculated. YMCA submaximal cycle Ergometer test was used to acquire VO2 max pre- and post-intervention. Changes in physical activity during dance training were assessed using Omran HJ-321 Tri-Axis Pedometer.

Results: After training, participants demonstrated a significant improvement in autonomic modulation in the supine position, indicating an improvement in LF=48.4 ( ± 20.1) to 40.3 ( ± 8.0), p=0.03; HF=51.5 ( ± 19) to 59.7 ( ± 8), p= 0.02 and LF/HF=1.6 ( ± 1.9) to 0.8 ( ± 0.26), p=0.05]. Post-training the participants had significantly higher VO2max. Number of steps during dance intervention significantly increased from the 1st to the 20th session (p<0.05).

Conclusion: The current study is the first to assess the effect of a virtual reality-based aerobic dance training paradigm on HRV among individuals with chronic stroke. Given that the paradigm used in this study improves cardiac autonomic control, future studies should incorporate dance as an adjuvant therapy into clinical treatment program and assess its long-term efficacy.

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