用近红外光谱技术评估肌肉收缩强度,在肌肉痉挛测量中的潜在应用。

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS
Mehdi Nourizadeh, Yekta Saremi, Amir Parham Pirhadi Rad, Sepideh Mortezanezhad, Iman Amani Tehrani, Jocelyn Bégin, Maria Juricic, Kishore Mulpuri, Babak Shadgan
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引用次数: 0

摘要

肌肉痉挛在脑瘫、脊髓损伤和多发性硬化症等疾病中很常见,传统上使用改良Ashworth量表进行评估,该量表缺乏一致性。本研究评估了近红外光谱(NIRS)作为测量肌肉收缩强度的非侵入性工具。37名健康成人以不同强度(最大自主收缩的15%、30%、45%和60%)进行等长收缩,近红外光谱传感器监测组织氧合指数(TOI)的变化,肌电图(EMG)测量肌肉活动。结果显示收缩强度与ΔTOI之间存在显著的负相关,表明更高的收缩水平导致更大的肌肉氧合减少。此外,多项逻辑回归模型证实TOI可以可靠地预测收缩强度(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating the Intensity of Muscle Contraction by Near-Infrared Spectroscopy, a Potential Application for Scaling Muscle Spasm

Evaluating the Intensity of Muscle Contraction by Near-Infrared Spectroscopy, a Potential Application for Scaling Muscle Spasm

Muscle spasticity, common in conditions such as cerebral palsy, spinal cord injury, and multiple sclerosis, is traditionally assessed using the Modified Ashworth Scale, which lacks consistency. This study evaluates near-infrared spectroscopy (NIRS) as a non-invasive tool for measuring muscle contraction intensity. Thirty-seven healthy adults performed isometric contractions at varying intensities (15%, 30%, 45%, and 60% of maximal voluntary contraction), with NIRS sensors monitoring changes in the Tissue Oxygenation Index (TOI) and electromyography (EMG) measuring muscle activity. Results demonstrated a significant negative correlation between contraction intensity and ΔTOI, indicating that higher contraction levels resulted in greater reductions in muscle oxygenation. Additionally, a multinomial logistic regression model confirmed that TOI could reliably predict contraction intensity (p < 0.001). This technique could provide real-time, objective data for spasticity assessment, potentially improving treatment plans.

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来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
期刊介绍: The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
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