دورية أكاديمية

Wearable Carbon Nanotube‐Spandex Textile Yarns for Knee Flexion Monitoring

التفاصيل البيبلوغرافية
العنوان: Wearable Carbon Nanotube‐Spandex Textile Yarns for Knee Flexion Monitoring
المؤلفون: Cormac D. Fay, Nicholas Mannering, Ali Jeiranikhameneh, Fatemeh Mokhtari, Javad Foroughi, Ray H. Baughman, Peter F. M. Choong, Gordon G. Wallace
المصدر: Advanced Sensor Research, Vol 2, Iss 1, Pp n/a-n/a (2023)
بيانات النشر: Wiley-VCH, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology (General)
LCC:Science
مصطلحات موضوعية: 3D printing, carbon nanotubes, knee flexion, sensing, SMART textiles, wearable technology, Technology (General), T1-995, Science
الوصف: Abstract Carbon nanotube‐spandex textiles are rapidly gaining in popularity as sensors for human motion, yet their use as—and comparison to—viable clinical‐based instrumentation has not been thoroughly investigated. Herein, the use of novel yarn‐based sensors that show excellent characteristics, ideal for joint kinematic sensing, is described. Knee kinematic monitoring of nine healthy participants while walking on a treadmill is examined. This is enabled through a 3D‐printed knee brace integrated with a wireless transmission device. The design, development, and testing of the wearable device is presented along with wireless data capture and processing. Additionally, the findings are compared in vivo to those reported by a reference optoelectronic measurement system (KneeKG) for validation purposes. The results show a high correlation between both systems, with an average Pearson's r‐value of 0.89 across each corresponding knee. This study is the first to explore the use of these novel yarn sensors for sagittal knee kinematic monitoring on participants during trials and validate the findings via an optoelectronic measurement system.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2751-1219
Relation: https://doaj.org/toc/2751-1219
DOI: 10.1002/adsr.202200021
URL الوصول: https://doaj.org/article/96b5c78ae667408daa3e31a6c9ff71c3
رقم الأكسشن: edsdoj.96b5c78ae667408daa3e31a6c9ff71c3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:27511219
DOI:10.1002/adsr.202200021