Time-frequency analysis of muscle activation patterns in individuals with chronic ankle instability during walking

IF 2.2 3区 医学 Q3 NEUROSCIENCES
Jaeho Jang , Hoon Kim , Erik A. Wikstrom
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引用次数: 0

Abstract

Background

Individuals with chronic ankle instability (CAI) exhibit altered walking mechanics, including changes in joint movement and muscle activation patterns at the ankle. However, amplitude-based analyses of muscle activation during walking have shown inconsistent results between individuals with CAI and uninjured controls. Time-frequency analyses can capture transient and frequency-specific muscle activation patterns that amplitude-based analyses may overlook, offering deeper insights into muscle function during dynamic activities.

Research question

Do individuals with CAI demonstrate increased low-frequency muscle activation and decreased high-frequency activation in the time-frequency domain compared to uninjured individuals during walking at their self-selected speed?

Methods

Nineteen individuals with CAI and 19 uninjured controls completed a walking trial on a force-measuring treadmill at their self-selected speed while electromyography sensors recorded muscle activity from the shank muscles. We used wavelet transformation to perform time-frequency decomposition of muscle activation data, then applied principal component analysis to extract unique signal features and compared principal component scores between groups.

Results

Individuals with CAI exhibited significantly greater intensity magnitudes in the medial gastrocnemius and soleus muscles at low frequencies and reduced magnitudes at high frequencies compared to controls (p = 0.006). Individuals with CAI exhibited significantly larger intensity magnitudes in the tibialis anterior and lateral gastrocnemius across all frequencies. Those with CAI showed smaller intensity magnitudes in the fibularis longus muscle overall but had higher magnitudes at low frequencies at the onset of the stance phase.

Significance

Our finding suggests that electromyography analysis in the time-frequency domain has the potential to reveal unique muscle function alterations in individuals with CAI during walking, which cannot be observed in traditional amplitude-based analyses.
步行时慢性踝关节不稳定个体肌肉激活模式的时频分析
慢性踝关节不稳定(CAI)患者表现出行走机制的改变,包括踝关节运动和肌肉激活模式的改变。然而,在步行过程中基于振幅的肌肉激活分析显示,CAI患者和未受伤对照组之间的结果不一致。时频分析可以捕捉瞬态和频率特定的肌肉激活模式,而基于振幅的分析可能会忽略这些模式,从而更深入地了解动态活动期间的肌肉功能。研究问题:与未受伤的人相比,患有CAI的人在以自己选择的速度行走时,在时频域表现出低频肌肉激活增加和高频激活减少吗?方法19名CAI患者和19名未受伤的对照组在力测量跑步机上以自己选择的速度行走,同时肌电传感器记录小腿肌肉的肌肉活动。我们利用小波变换对肌肉激活数据进行时频分解,然后利用主成分分析提取信号的独特特征,比较各组间主成分得分。结果与对照组相比,CAI患者在低频时腓肠肌内侧和比目鱼肌的强度显著增加,而在高频时强度显著降低(p = 0.006)。在所有频率上,CAI患者在胫骨前肌和腓肠肌外侧表现出明显更大的强度。CAI患者在腓骨长肌整体上表现出较小的强度,但在站立期开始时,低频处的强度较高。我们的发现表明,时频域的肌电图分析有可能揭示CAI患者在步行过程中独特的肌肉功能改变,这在传统的基于振幅的分析中是无法观察到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gait & posture
Gait & posture 医学-神经科学
CiteScore
4.70
自引率
12.50%
发文量
616
审稿时长
6 months
期刊介绍: Gait & Posture is a vehicle for the publication of up-to-date basic and clinical research on all aspects of locomotion and balance. The topics covered include: Techniques for the measurement of gait and posture, and the standardization of results presentation; Studies of normal and pathological gait; Treatment of gait and postural abnormalities; Biomechanical and theoretical approaches to gait and posture; Mathematical models of joint and muscle mechanics; Neurological and musculoskeletal function in gait and posture; The evolution of upright posture and bipedal locomotion; Adaptations of carrying loads, walking on uneven surfaces, climbing stairs etc; spinal biomechanics only if they are directly related to gait and/or posture and are of general interest to our readers; The effect of aging and development on gait and posture; Psychological and cultural aspects of gait; Patient education.
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