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Measurement of spinal flexion using wearable sensors

Deignan, Jennifer and Farajikhah, Syamak and Jeirani, Ali and Pacelli, Maria and Foroughi, Javad and Coyle, Shirley and Innis, Peter and Paradiso, Rita and Wallace, Gordon and Diamond, Dermot (2015) Measurement of spinal flexion using wearable sensors. In: 67th Irish Universities Chemistry Research Colloquium, 25-26 June 2015, Maynooth University, Ireland.

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Abstract

Wearable sensors have the potential to provide new methods of non-invasive physiological measurement in real-time. This work presents an alternative to the current clinical measurement of spinal flexion; the modified Schober’s test. The accuracy of the test is determined by each clinician, which causes a large tendency towards error [1]. By implementing a strain sensor as an alternative to the measuring tape currently used, it is proposed that inter-observer error would be reduced and more consistent measurements would be provided over time. Herein, two types of textile based sensors were tested for use in this application; a knitted spandex cylindrical structure with integrated carbon nanotubes (CNT) and a flat, knitted piezoresistive fabric (KPF) knitted with Lycra® [2]. Of each type, numerous samples were fabricated with varying length, width, core size, tension and knit direction. Each sensor was tested for resistance changes versus strain in the laboratory where it was clear that KPF sensors knit under high tension provided accurate and reproducible electrical properties. All varieties of CNT sensors showed inconsistent resistance measurements over time, rendering them unsuitable for use of such precise measurements. After calibration, it is proposed that these sensors can be easily integrated into a wearable device to be used in a clinical setting.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Subjects:Physical Sciences > Electrochemistry
Medical Sciences > Health
Physical Sciences > Chemistry
Medical Sciences > Physiology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Research Initiatives and Centres > National Centre for Sensor Research (NCSR)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, European Framework Programme 7, Enterprise Ireland
ID Code:20705
Deposited On:21 Jul 2015 11:07 by Ms Jennifer Deignan. Last Modified 31 Jul 2016 01:02

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