清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass

计算机科学 骨骼肌 人工肌肉 生物医学工程 人工智能 机器学习 模拟 材料科学 医学 内分泌学 执行机构
作者
Hongyu Zhang,Keer Wang,Jiao Suo,Clio Yuen Man Cheng,Meng Chen,King Wai Chiu Lai,Calvin Kalun Or,Yong Hu,Vellaisamy A. L. Roy,Cindy Lo Kuen Lam,Ning Xi,VW Lou,Wen J. Li
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (8): 5484-5494 被引量:9
标识
DOI:10.1021/acssensors.4c03379
摘要

High Resolution Image Download MS PowerPoint Slide Muscle function and composition are important indicators of age-related health. However, current assessment methods are often complex and expensive, making the early detection of related problems difficult. Therefore, developing a cost-effective and easily accessible daily based detection method is an essential research focus. This study introduces a novel portable porous-structured (i.e., CNT/PDMS nanocomposite) and flexible piezoresistive sensor for evaluating muscle function and relative skeletal muscle mass index, offering advantages of cost-effectiveness, safety, and user-friendliness. The porous architecture significantly enhances sensitivity, while the flexible design ensures excellent conformability to the skin and adaptability to complex body movements. The prototype sensor demonstrates a linear detection range of 0–39 kPa with dual-stage sensitivities of 0.03398 kPa –1 (0–7 kPa) and 0.000922 kPa –1 (7–39 kPa). The sensor maintains stable performance for over a week and exhibits reliable operation unaffected by body temperature or perspiration, and the material cost does not exceed 10 HKD. The gait data can be easily collected by wearing the sensor on the left gastrocnemius muscle. Our study encompassed 23 participants from both the elderly and young age groups. The supervised learning achieved a maximum accuracy of 93.48% in distinguishing between the elderly and the young subjects. Unsupervised learning analysis further validated the efficacy of our flexible sensor in muscle function assessment. Additionally, an Adaboost regression model was employed to predict the relative skeletal muscle mass index, achieving a mean error of 2.8%. This flexible sensor demonstrates significant potential for the daily monitoring of muscle function and mass, enabling early detection and prevention of sarcopenia and other muscle-related disorders. Its wearable and noninvasive characteristics make it an attractive solution for muscle assessment in clinical, sports, and home environments.
最长约 10秒,即可获得该文献文件

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
鱼儿游完成签到 ,获得积分10
刚刚
远之完成签到 ,获得积分10
2秒前
304anchi完成签到 ,获得积分10
3秒前
大个应助体贴丹妗采纳,获得10
13秒前
Shandongdaxiu完成签到 ,获得积分10
15秒前
居居子完成签到,获得积分10
17秒前
今后应助xingran720905采纳,获得10
23秒前
huluwa完成签到,获得积分10
24秒前
lixiang完成签到 ,获得积分10
25秒前
28秒前
体贴丹妗发布了新的文献求助10
32秒前
高大明辉完成签到,获得积分10
35秒前
solution完成签到 ,获得积分10
44秒前
庄海棠完成签到 ,获得积分0
48秒前
1a关闭了1a文献求助
51秒前
gzhy完成签到,获得积分10
57秒前
清秀贞发布了新的文献求助30
58秒前
1分钟前
害羞的又菡完成签到,获得积分10
1分钟前
11发布了新的文献求助10
1分钟前
1分钟前
kevin发布了新的文献求助10
1分钟前
jy2012完成签到 ,获得积分10
1分钟前
林海完成签到 ,获得积分10
1分钟前
11完成签到,获得积分10
1分钟前
1分钟前
Ava应助体贴丹妗采纳,获得10
1分钟前
vchen0621发布了新的文献求助10
1分钟前
大胆的秋双完成签到,获得积分10
1分钟前
linllll完成签到,获得积分10
1分钟前
molihuakai应助祺123采纳,获得10
1分钟前
1分钟前
palomahan完成签到,获得积分10
1分钟前
1997SD完成签到,获得积分10
1分钟前
1分钟前
1分钟前
然宝应助科研通管家采纳,获得10
1分钟前
爆米花应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
高分求助中
On lateral buckling of armouring wires in flexible pipes 10000
(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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 700
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7744743
求助须知:如何正确求助?哪些是违规求助? 9292476
关于积分的说明 20213213
捐赠科研通 7323698
什么是DOI,文献DOI怎么找? 3307639
关于科研通互助平台的介绍 2459614
邀请新用户注册赠送积分活动 2318704