Is Accelerometry an Effective Method to Assess Muscle Vibrations in Comparison to Ultrafast Ultrasonography?

加速度计 振动 计算机科学 声学 物理 操作系统
作者
Robin Trama,Christophe Hautier,Robin Souron,Thomas Lapole,Alexandre Fouré,Yoann Blache
出处
期刊:IEEE Transactions on Biomedical Engineering [Institute of Electrical and Electronics Engineers]
卷期号:68 (4): 1409-1416 被引量:5
标识
DOI:10.1109/tbme.2020.3035838
摘要

Objective: The purpose of this study was to assess whether accelerometry effectively reflects muscle vibrations measured with ultrafast ultrasonography. Methods: Vibration characteristics initiated on the vastus lateralis muscle by an impactor were compared when assessed with accelerometry and ultrasonography. Continuous wavelet transforms and statistical parametric mapping (SPM) were performed to identify discrepancies in vibration power over time and frequency between the two devices. Results: The SPM analysis revealed that the accelerometer underestimated the muscle vibration power above 50 Hz during the first 0.06 seconds post impact. Furthermore, the accelerometer overestimated the muscle vibration power under 20 Hz, from 0.1 seconds after the impact. Linear regression revealed that the thicker the subcutaneous fat localized under the accelerometer, the more the muscle vibration frequency and damping were underestimated by the accelerometer . Conclusion: The skin and the fat tissues acted like a low-pass filter above 50 Hz and oscillated in a less damped manner than the muscle tissue under 20 Hz. Significance: To eliminate some artifacts caused by the superficial tissues and assess the muscle vibration characteristics with accelerometry, it is suggested to 1) high-pass filter the acceleration signal at a frequency of 20 Hz, under certain conditions, and 2) include participants with less fat thickness. Therefore, the subcutaneous thickness must be systematically quantified under each accelerometer location to clarify the differences between subjects and muscles.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
骆默发布了新的文献求助10
1秒前
石油醚发布了新的文献求助30
1秒前
1秒前
1秒前
2秒前
今后应助陈_采纳,获得10
3秒前
北斗文曲星完成签到,获得积分10
3秒前
3秒前
pinecone发布了新的文献求助30
4秒前
peach完成签到,获得积分10
4秒前
萝卜应助amiao采纳,获得20
5秒前
6秒前
6秒前
郑阔发布了新的文献求助10
6秒前
小小余发布了新的文献求助10
7秒前
7秒前
万能图书馆应助张俊伟采纳,获得10
7秒前
flysky120发布了新的文献求助10
7秒前
SCI完成签到,获得积分10
7秒前
yanlong发布了新的文献求助10
7秒前
liujianxin完成签到,获得积分20
8秒前
Liuxinyan完成签到,获得积分10
8秒前
8秒前
缓慢雅青发布了新的文献求助10
8秒前
8秒前
8秒前
张秉环发布了新的文献求助10
10秒前
10秒前
无极微光应助Iridescent采纳,获得20
10秒前
烟花应助Iridescent采纳,获得10
10秒前
科研通AI2S应助张朔采纳,获得10
10秒前
共享精神应助Iridescent采纳,获得10
10秒前
小琥同学发布了新的文献求助10
10秒前
11秒前
11秒前
sxr发布了新的文献求助10
11秒前
张秉环发布了新的文献求助10
11秒前
xixi发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019772
求助须知:如何正确求助?哪些是违规求助? 7614944
关于积分的说明 16163093
捐赠科研通 5167540
什么是DOI,文献DOI怎么找? 2765662
邀请新用户注册赠送积分活动 1747539
关于科研通互助平台的介绍 1635688