دورية أكاديمية
Wearable Carbon Nanotube‐Spandex Textile Yarns for Knee Flexion Monitoring
العنوان: | Wearable Carbon Nanotube‐Spandex Textile Yarns for Knee Flexion Monitoring |
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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 |
تدمد: | 27511219 |
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DOI: | 10.1002/adsr.202200021 |