肱二头肌低度和中度等长收缩时,HD-sEMG 信号随年龄和性别变化的高斯性评估

IF 5.6 4区 医学 Q1 ENGINEERING, BIOMEDICAL
Irbm Pub Date : 2024-08-02 DOI:10.1016/j.irbm.2024.100851
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引用次数: 0

摘要

衰老与肌肉衰退有关,而肌肉衰退会改变神经肌肉系统的功能和解剖特性。这些变化可通过高密度表面肌电图(HD-sEMG)信号反映出来。本研究探讨了年龄和性别如何影响 HD-sEMG 信号振幅概率密度函数 (PDF) 的形状。研究人员从 17 人的肱二头肌采集了单极 HD-sEMG 信号:年轻组中有 10 名女性(平均年龄:22.9 ± 3.6 岁)和 7 名男性(平均年龄:24.4 ± 2.5 岁),老年组中有 10 名女性(平均年龄:69.8 ± 4.8 岁)和 7 名男性(平均年龄:72.8 ± 2.7 岁)。记录是在最大自主收缩 20% 和 40% 时屈肘进行的。信号振幅采用均方根振幅(RMSA)进行评估,每个 HD-sEMG 信号的 PDF 形状则通过偏度、过度峰度和稳健功能统计进行评估。a) 我们对年轻人和老年人的 HD-sEMG PDF 形状进行了比较研究;b) 评估了男性和女性之间的差异;c) 考虑了对不同肌肉区域敏感的单极和拉普拉斯电极配置。A) 与年轻人相比,老年人的 HD-sEMG PDF 偏离高斯性更低。B) 女性的 RMSA 值低于男性,而且无论年龄和收缩水平如何,平均偏离高斯程度都较低 C) 偏离高斯程度随收缩水平的变化趋势似乎受到电极配置的影响。事实上,单极记录的高斯偏离度降低,而拉普拉斯记录的高斯偏离度升高,这清楚地表明对肌肉区域的评估不同。研究结果凸显了年龄、性别、收缩水平和电极蒙太奇等因素对 HD-sEMG PDF 形状的影响,强调了使用该描述符监测和更好地评估肌肉老化的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gaussianity Evaluation of HD-sEMG Signals with Aging and Sex During Low and Moderate Isometric Contractions of the Biceps Brachii

Gaussianity Evaluation of HD-sEMG Signals with Aging and Sex During Low and Moderate Isometric Contractions of the Biceps Brachii

Introduction

Aging is associated with muscle decline, which alters both functional and anatomical properties of the neuromuscular system. These modifications can be reflected in high-density surface electromyography (HD-sEMG) signals. This study examines how age and sex impact the shape of the amplitude Probability Density Function (PDF) of HD-sEMG signals.

Materials and Methods

Monopolar HD-sEMG signals were collected from the Biceps Brachii in a cohort of 17 individuals: 10 women (mean age: 22.9 ± 3.6 years) and 7 men (mean age: 24.4 ± 2.5 years) in the younger group, and 10 women (mean age: 69.8 ± 4.8 years) and 7 men (mean age: 72.8 ± 2.7 years) in the elderly group. The recordings were conducted during an elbow flexion at both 20% and 40% maximum voluntary contraction. The signal amplitude was evaluated using root means square amplitude (RMSA) and the PDF shape of each HD-sEMG signal was assessed through skewness, excess Kurtosis, and robust functional statistics. These shape distance metrics evaluate the departure from Gaussianity related to muscle aging. a) We conducted a comparison study of the HD-sEMG PDF shapes between younger and elderly individuals. b) Evaluating differences between men and women. c) Considering monopolar and Laplacian electrode configurations that are sensitive to different muscle regions.

Results

A) The HD-sEMG PDFs of elderly subjects demonstrated a lower departure from Gaussianity than their younger counterparts. B) Women exhibited lower RMSA values than men, and, on average, a lower departure from Gaussianity whatever the age and contraction level C) Trends of departure from Gaussianity with contraction level, seems to be influenced by the electrode configuration. In fact, a decrease in Gaussianity departure is observed with monopolar recordings where an increase is observed with Laplacian one, clearly indicating different muscle region assessment.

Discussion

The findings highlight the influence of factors such aging, sex, contraction level and electrode montage on the shape of the HD-sEMG PDF, emphasizing the significance of using this descriptor for monitoring and better assessment of muscle aging.

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来源期刊
Irbm
Irbm ENGINEERING, BIOMEDICAL-
CiteScore
10.30
自引率
4.20%
发文量
81
审稿时长
57 days
期刊介绍: IRBM is the journal of the AGBM (Alliance for engineering in Biology an Medicine / Alliance pour le génie biologique et médical) and the SFGBM (BioMedical Engineering French Society / Société française de génie biologique médical) and the AFIB (French Association of Biomedical Engineers / Association française des ingénieurs biomédicaux). As a vehicle of information and knowledge in the field of biomedical technologies, IRBM is devoted to fundamental as well as clinical research. Biomedical engineering and use of new technologies are the cornerstones of IRBM, providing authors and users with the latest information. Its six issues per year propose reviews (state-of-the-art and current knowledge), original articles directed at fundamental research and articles focusing on biomedical engineering. All articles are submitted to peer reviewers acting as guarantors for IRBM''s scientific and medical content. The field covered by IRBM includes all the discipline of Biomedical engineering. Thereby, the type of papers published include those that cover the technological and methodological development in: -Physiological and Biological Signal processing (EEG, MEG, ECG…)- Medical Image processing- Biomechanics- Biomaterials- Medical Physics- Biophysics- Physiological and Biological Sensors- Information technologies in healthcare- Disability research- Computational physiology- …
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