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Soft Wearable Knee Brace with Embedded Sensors for Knee Motion Monitoring
Conference proceeding   Peer reviewed

Soft Wearable Knee Brace with Embedded Sensors for Knee Motion Monitoring

Ujjaval Gupta, Jun Liang Lau, Alvee Ahmed, Pei Zhi Chia, Gim Song Soh, Hong Yee Low and IEEE
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), Vol.2021-, pp.7348-7351
IEEE Engineering in Medicine and Biology Society Conference Proceedings
11/2021
PMID: 34892795

Abstract

Engineering Engineering, Biomedical Engineering, Electrical & Electronic Science & Technology Technology
E-textiles have shown great potential for development of soft sensors in applications such as rehabilitation and soft robotics. However, existing approaches require the textile sensors to be attached externally onto a substrate or the garment surface. This paper seeks to address the issue by embedding the sensor directly into the wearable using a computer numerical control (CNC) knitting machine. First, we proposed a design of the wearable knee brace. Next, we demonstrated the capability to knit a sensor with the stretchable surrounding fabric. Subsequently, we characterized the sensor and developed a model for the sensor's electromechanical property. Lastly, the fully knitted knee brace with embedded sensor is tested, by performing three different activities: a simple Flexion-extension exercise, walking, and jogging activity with a single test subject. Results show that the knitted knee brace sensor can track the subject's knee motion well, with a Spearman's coefficient (r(s)) value of 0.87 when compared to the reference standard.

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