Textile-Integrated Magnetoinductive Waveguides for Low-Complexity, Single-Channel Quantitative Estimation of Isometric Elbow Torque.

IF 4.4 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Samuel J Coogle, Brian Prejean, Asimina Kiourti
{"title":"Textile-Integrated Magnetoinductive Waveguides for Low-Complexity, Single-Channel Quantitative Estimation of Isometric Elbow Torque.","authors":"Samuel J Coogle, Brian Prejean, Asimina Kiourti","doi":"10.1109/TBME.2026.3725220","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Wearable monitoring of isometric elbow torque is of great interest for rehabilitation monitoring and muscular disease management, yet remains limited by obtrusiveness, drift, and complexity. We present a wearable sensor that measures transient circumferential deformation of the mid-upper arm as a low-complexity bio-signal for joint torque monitoring.</p><p><strong>Methods: </strong>The proposed sensor operates on the basis of magnetoinductive waveguide principles. Participants (n=20) completed three sets of three contractions with sensor replacement between sets. A two-stage analysis extracted contraction-level calibration slopes and characterized variability using a three-level nested mixed effects model. Systematic bias was assessed and leave-one-out cross validation quantified prediction error at the subject, set, and contraction levels.</p><p><strong>Results: </strong>The sensor data had a strong, linear relationship with elbow torque (mean $R^{2}=0.925\\pm 0.063$) across the test population. Within-contraction modeling error was $2.5\\;Nm$ (5.9%); leave-one-out calibration grouped by set, subject, and population increased error to $5.84\\;Nm$ (14.0%), $7.70\\;Nm$ (18.4%), and $9.76\\;Nm$ (23.4%), respectively, with an opposite trend in calibration burden. No systematic bias was detected across set and contraction order, nor with respect to anthropometric data, supporting the sensor's generalizability.</p><p><strong>Conclusion: </strong>The herein described magnetoinductive waveguide sensor provides a strong, linear predictor of isometric elbow torque with calibration variability emerging primarily due to inter-subject differences that warrant further study. Extension to complex contractions remains critical for future work.</p><p><strong>Significance: </strong>The single-channel, low-complexity, textile-integrated modality enabled by transient circumferential deformation sensing creates a promising path towards monitoring of at-home rehabilitation and muscular disease management.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/TBME.2026.3725220","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Wearable monitoring of isometric elbow torque is of great interest for rehabilitation monitoring and muscular disease management, yet remains limited by obtrusiveness, drift, and complexity. We present a wearable sensor that measures transient circumferential deformation of the mid-upper arm as a low-complexity bio-signal for joint torque monitoring.

Methods: The proposed sensor operates on the basis of magnetoinductive waveguide principles. Participants (n=20) completed three sets of three contractions with sensor replacement between sets. A two-stage analysis extracted contraction-level calibration slopes and characterized variability using a three-level nested mixed effects model. Systematic bias was assessed and leave-one-out cross validation quantified prediction error at the subject, set, and contraction levels.

Results: The sensor data had a strong, linear relationship with elbow torque (mean $R^{2}=0.925\pm 0.063$) across the test population. Within-contraction modeling error was $2.5\;Nm$ (5.9%); leave-one-out calibration grouped by set, subject, and population increased error to $5.84\;Nm$ (14.0%), $7.70\;Nm$ (18.4%), and $9.76\;Nm$ (23.4%), respectively, with an opposite trend in calibration burden. No systematic bias was detected across set and contraction order, nor with respect to anthropometric data, supporting the sensor's generalizability.

Conclusion: The herein described magnetoinductive waveguide sensor provides a strong, linear predictor of isometric elbow torque with calibration variability emerging primarily due to inter-subject differences that warrant further study. Extension to complex contractions remains critical for future work.

Significance: The single-channel, low-complexity, textile-integrated modality enabled by transient circumferential deformation sensing creates a promising path towards monitoring of at-home rehabilitation and muscular disease management.

用于低复杂度、单通道等距弯头扭矩定量估计的纺织集成磁感应波导。
目的:可穿戴式肘关节等距扭矩监测在康复监测和肌肉疾病管理中具有重要意义,但仍受突发性、漂移性和复杂性的限制。我们提出了一种可穿戴传感器,可测量上臂中部的瞬态周向变形,作为关节扭矩监测的低复杂度生物信号。方法:基于磁感应波导原理设计传感器。参与者(n=20)完成了三组三次收缩,两组之间更换传感器。两阶段分析提取了收缩水平的校准斜率,并使用三级嵌套混合效应模型表征了变异性。评估了系统偏倚,留一交叉验证量化了受试者、集合和收缩水平的预测误差。结果:在整个测试人群中,传感器数据与弯头扭矩(平均$R^{2}=0.925\pm 0.063$)具有很强的线性关系。收缩内模型误差为2.5美元;纳米美元(5.9%);按集、受试者和人群分组的留一校准将误差增加到5.84美元;Nm$ (14.0%), $7.70\;Nm$(18.4%)和$9.76\;Nm$(23.4%),校准负担呈相反趋势。在设置和收缩顺序之间没有检测到系统偏差,也没有涉及人体测量数据,支持传感器的通用性。结论:本文描述的磁感应波导传感器提供了一个强大的、线性的等距弯头扭矩预测器,其校准变化主要是由于学科间的差异,这需要进一步的研究。延伸到复杂的收缩仍然是未来工作的关键。意义:单通道、低复杂性、纺织品集成的模式通过瞬态周向变形传感实现,为家庭康复监测和肌肉疾病管理创造了一条有希望的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering 工程技术-工程:生物医学
CiteScore
9.40
自引率
4.30%
发文量
880
审稿时长
2.5 months
期刊介绍: IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书