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Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease

机译:通过可穿戴系统长时间行走,可为帕金森氏病患者提供智能的听觉输入

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摘要

Rhythmic auditory cueing is a well-accepted tool for gait rehabilitation in Parkinson’s disease (PD), which can now be applied in a performance-adapted fashion due to technological advance. This study investigated the immediate differences on gait during a prolonged, 30 minute, walk with performance-adapted (intelligent) auditory cueing and verbal feedback provided by a wearable sensor-based system as alternatives for traditional cueing. Additionally, potential effects on self-perceived fatigue were assessed. Twenty-eight people with PD and thirteen aged-matched healthy elderly (HE) performed four 30 minute walks with a wearable cue and feedback system. In randomized order, participants received: 1) Continuous auditory cueing; 2) Intelligent cueing (10 metronome-beats triggered by a deviating walking rhythm); 3) Intelligent feedback (verbal instructions triggered by a deviating walking rhythm); and 4) No external input. Fatigue was self-scored at rest and after walking during each session. The results showed that while HE were able to maintain cadence for 30 minutes during all conditions, cadence in PD significantly declined without input. With continuous cueing and intelligent feedback people with PD were able to maintain cadence (p=0.04), although they were more physically fatigued than HE. Furthermore, cadence deviated significantly more in people with PD than in HE without input and particularly with intelligent feedback (both: p=0.04). In PD, continuous and intelligent cueing induced significantly less deviations of cadence (p=0.006). Altogether, this suggests that intelligent cueing is a suitable alternative for the continuous mode during prolonged walking in PD, as it induced similar effects on gait without generating levels of fatigue beyond that of HE.
机译:有节奏的听觉提示是帕金森氏病(PD)步态康复的一种公认的工具,由于技术的进步,现在可以以适应性能的方式应用。这项研究调查了长时间,30分钟步行过程中步态的即时差异,以及基于性能的(智能)听觉提示和可穿戴式传感器系统提供的言语反馈(作为传统提示的替代方法)。此外,评估了对自我感觉疲劳的潜在影响。 28名PD患者和13名年龄匹配的健康老人(HE)使用可穿戴的提示和反馈系统进行了4次30分钟的步行。以随机顺序,参与者收到:1)持续的听觉提示; 2)智能提示(由偏离的步行节奏触发的10个节拍器节拍); 3)智能反馈(步行节奏偏离触发的语言指令); 4)没有外部输入。疲劳强度在休息和每次锻炼后行走时都会自动计分。结果表明,尽管HE可以在所有条件下保持30分钟的节奏,但没有输入时PD的节奏明显下降。通过持续的提示和智能的反馈,尽管PD患者的身体比HE疲劳得多,但他们仍能够保持节奏(p = 0.04)。此外,与没有输入,特别是具有智能反馈的HE相比,PD患者的节奏显着增加(两者均为:p = 0.04)。在PD中,连续和智能提示导致的节奏偏差明显较小(p = 0.006)。总之,这表明智能提示是PD长时间步行过程中连续模式的合适替代方法,因为它对步态具有类似的影响,而不会产生超出HE的疲劳水平。

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